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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Bioinformatics Tools (and Web Server) for Cancer Biomarker Development by : Xiangqian Guo
Download or read book Bioinformatics Tools (and Web Server) for Cancer Biomarker Development written by Xiangqian Guo and published by Frontiers Media SA. This book was released on 2020-12-23 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Bioinformatics Tools (and Web Server) for Cancer Biomarker Development, Volume II by : Xiangqian Guo
Download or read book Bioinformatics Tools (and Web Server) for Cancer Biomarker Development, Volume II written by Xiangqian Guo and published by Frontiers Media SA. This book was released on 2022-06-16 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt:
The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.
Book Synopsis Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases by : Bairong Shen
Download or read book Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases written by Bairong Shen and published by Springer Science & Business Media. This book was released on 2013-11-25 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.
This book discusses the application of bioinformatics in cancer disease management. It covers general aspects of cancer as a disease but also as a success story in the translation of omics data in clinical settings. It provides an overview of the specific applications of bioinformatics tools in cancer epidemiology, prevention, and screening and in the identification of novel genetic and molecular biomarkers involved in cancer development. This is accomplished through the inclusion of numerous examples of the use of bioinformatics in precision oncology.
Book Synopsis Cancer Bioinformatics by :
Download or read book Cancer Bioinformatics written by and published by BoD – Books on Demand. This book was released on 2022-09-28 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the application of bioinformatics in cancer disease management. It covers general aspects of cancer as a disease but also as a success story in the translation of omics data in clinical settings. It provides an overview of the specific applications of bioinformatics tools in cancer epidemiology, prevention, and screening and in the identification of novel genetic and molecular biomarkers involved in cancer development. This is accomplished through the inclusion of numerous examples of the use of bioinformatics in precision oncology.
This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery Covers the main range of data sources currently used for biomarker discovery Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies Discusses systems biology approaches and applications Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations
Book Synopsis Bioinformatics and Biomarker Discovery by : Francisco Azuaje
Download or read book Bioinformatics and Biomarker Discovery written by Francisco Azuaje and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery Covers the main range of data sources currently used for biomarker discovery Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies Discusses systems biology approaches and applications Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations
This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.
Book Synopsis Cancer Systems Biology, Bioinformatics and Medicine by : Alfredo Cesario
Download or read book Cancer Systems Biology, Bioinformatics and Medicine written by Alfredo Cesario and published by Springer Science & Business Media. This book was released on 2011-08-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.
Research has long sought to identify biomarkers that could detect cancer at an early stage, or predict the optimal cancer therapy for specific patients. Fueling interest in this research are recent technological advances in genomics, proteomics, and metabolomics that can enable researchers to capture the molecular fingerprints of specific cancers and fine-tune their classification according to the molecular defects they harbor. The discovery and development of new markers of cancer could potentially improve cancer screening, diagnosis, and treatment. Given the potential impact cancer biomarkers could have on the cost effectiveness of cancer detection and treatment, they could profoundly alter the economic burden of cancer as well. Despite the promise of cancer biomarkers, few biomarker-based cancer tests have entered the market, and the translation of research findings on cancer biomarkers into clinically useful tests seems to be lagging. This is perhaps not surprising given the technical, financial, regulatory, and social challenges linked to the discovery, development, validation, and incorporation of biomarker tests into clinical practice. To explore those challenges and ways to overcome them, the National Cancer Policy Forum held the conference "Developing Biomarker-Based Tools for Cancer Screening, Diagnosis and Treatment: The State of the Science, Evaluation, Implementation, and Economics" in Washington, D.C., from March 20 to 22, 2006. At this conference, experts gave presentations in one of six sessions. In addition, seven small group discussions explored the policy implications surrounding biomarker development and adoption into clinical practice. Developing Biomarker-based Tools for Developing Cancer Screening, Diagnosis, and Treatment: The State of the Science, Evaluation, Implementation, and Economics-Workshop Summary presents the conference proceedings and will be used by an Institute of Medicine (IOM) committee to develop consensus-based recommendations for moving the field of cancer biomarkers forward.
Book Synopsis Developing Biomarker-Based Tools for Cancer Screening, Diagnosis, and Treatment by : Institute of Medicine
Download or read book Developing Biomarker-Based Tools for Cancer Screening, Diagnosis, and Treatment written by Institute of Medicine and published by National Academies Press. This book was released on 2006-10-18 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research has long sought to identify biomarkers that could detect cancer at an early stage, or predict the optimal cancer therapy for specific patients. Fueling interest in this research are recent technological advances in genomics, proteomics, and metabolomics that can enable researchers to capture the molecular fingerprints of specific cancers and fine-tune their classification according to the molecular defects they harbor. The discovery and development of new markers of cancer could potentially improve cancer screening, diagnosis, and treatment. Given the potential impact cancer biomarkers could have on the cost effectiveness of cancer detection and treatment, they could profoundly alter the economic burden of cancer as well. Despite the promise of cancer biomarkers, few biomarker-based cancer tests have entered the market, and the translation of research findings on cancer biomarkers into clinically useful tests seems to be lagging. This is perhaps not surprising given the technical, financial, regulatory, and social challenges linked to the discovery, development, validation, and incorporation of biomarker tests into clinical practice. To explore those challenges and ways to overcome them, the National Cancer Policy Forum held the conference "Developing Biomarker-Based Tools for Cancer Screening, Diagnosis and Treatment: The State of the Science, Evaluation, Implementation, and Economics" in Washington, D.C., from March 20 to 22, 2006. At this conference, experts gave presentations in one of six sessions. In addition, seven small group discussions explored the policy implications surrounding biomarker development and adoption into clinical practice. Developing Biomarker-based Tools for Developing Cancer Screening, Diagnosis, and Treatment: The State of the Science, Evaluation, Implementation, and Economics-Workshop Summary presents the conference proceedings and will be used by an Institute of Medicine (IOM) committee to develop consensus-based recommendations for moving the field of cancer biomarkers forward.
Over time, much has been done in attempt to understand the various causes and complex molecular mechanisms of cancer, yet it still represents one of the leading causes of mortality worldwide. Fortunately, cancer therapeutics have evolved, from broad chemotherapies with multiple harsh side effects to molecular missiles which target specific cancer causing genes, leaving a patient's normal cells largely untouched. Similarly, cancer detection strategies and prognosis methods have also advanced, allowing doctors and patients to better manage and control the disease. The main challenge currently is to identify those genes that are specific markers for a particular cancer and can inform prognosis and those that may be "targeted therapies". This can be accomplished most rapidly through the use of large-scale cancer genomic datasets and sophisticated integrative analyses, methods, and tools to detect and prioritize candidate genes and biomarkers. As such, the goal of this work is to develop analyses, methods, and frameworks that benefit the translational research community by identifying and prioritizing genes for biomarker and drug development. Specifically, using integrative approaches on The Cancer Genome Atlas (TCGA) and various datasets from Gene Expression Omnibus (GEO), we perform analyses to identify a marker of survival and Epithelial-mesenchymal transition (EMT) in ovarian serous adenocarcinoma and a 5-gene signature of survival and molecular subtype in pancreatic ductal adenocarcinoma. Additionally, we highlight associated oncogenic pathways and suggest potential therapeutic strategies in these analyses. In order to improve detection of these survival markers we also evaluate a suite of techniques used commonly in the literature for survival analysis and determine best practices when using RNA-Sequencing data. Finally, we develop an application that allows researcher to access cancer 'big data' and apply their experience and domain expertise alongside the application logic of the tool to identify survival markers, therapeutic avenues, and genes that may represent an 'Achilles heel' for a set of tumors. This undertaking involves many different facets of bioinformatics, including statistical methods of analysis, high-performance computing, graph theory, web programming, and UI/UX interaction, as well as domain expertise in cancer target discovery. While there is much activity in the translational cancer informatics domain, the current study adds to the wealth of knowledge and tools in the community and presents another foothold to gain novel insights into this devastating disease.
Book Synopsis Computational Analyses, Methods, and Tools Supporting Cancer Biomarker Identification and Targeted Therapy Development by : Pichai Raman
Download or read book Computational Analyses, Methods, and Tools Supporting Cancer Biomarker Identification and Targeted Therapy Development written by Pichai Raman and published by . This book was released on 2016 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over time, much has been done in attempt to understand the various causes and complex molecular mechanisms of cancer, yet it still represents one of the leading causes of mortality worldwide. Fortunately, cancer therapeutics have evolved, from broad chemotherapies with multiple harsh side effects to molecular missiles which target specific cancer causing genes, leaving a patient's normal cells largely untouched. Similarly, cancer detection strategies and prognosis methods have also advanced, allowing doctors and patients to better manage and control the disease. The main challenge currently is to identify those genes that are specific markers for a particular cancer and can inform prognosis and those that may be "targeted therapies". This can be accomplished most rapidly through the use of large-scale cancer genomic datasets and sophisticated integrative analyses, methods, and tools to detect and prioritize candidate genes and biomarkers. As such, the goal of this work is to develop analyses, methods, and frameworks that benefit the translational research community by identifying and prioritizing genes for biomarker and drug development. Specifically, using integrative approaches on The Cancer Genome Atlas (TCGA) and various datasets from Gene Expression Omnibus (GEO), we perform analyses to identify a marker of survival and Epithelial-mesenchymal transition (EMT) in ovarian serous adenocarcinoma and a 5-gene signature of survival and molecular subtype in pancreatic ductal adenocarcinoma. Additionally, we highlight associated oncogenic pathways and suggest potential therapeutic strategies in these analyses. In order to improve detection of these survival markers we also evaluate a suite of techniques used commonly in the literature for survival analysis and determine best practices when using RNA-Sequencing data. Finally, we develop an application that allows researcher to access cancer 'big data' and apply their experience and domain expertise alongside the application logic of the tool to identify survival markers, therapeutic avenues, and genes that may represent an 'Achilles heel' for a set of tumors. This undertaking involves many different facets of bioinformatics, including statistical methods of analysis, high-performance computing, graph theory, web programming, and UI/UX interaction, as well as domain expertise in cancer target discovery. While there is much activity in the translational cancer informatics domain, the current study adds to the wealth of knowledge and tools in the community and presents another foothold to gain novel insights into this devastating disease.
This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
Book Synopsis Computational Intelligence in Oncology by : Khalid Raza
Download or read book Computational Intelligence in Oncology written by Khalid Raza and published by Springer Nature. This book was released on 2022-03-01 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
Book Synopsis Bioinformatics Tools for Discovery and Evaluation of Biomarkers by :
Download or read book Bioinformatics Tools for Discovery and Evaluation of Biomarkers written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
