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The Applications Of Bioinformatics In Cancer Detection
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Book Synopsis The Applications of Bioinformatics in Cancer Detection by : Asad Umar
Download or read book The Applications of Bioinformatics in Cancer Detection written by Asad Umar and published by . This book was released on 2004 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The state of the science of bioinformatics - that is, application of computer processes to solving biological problems - and its potential for assisting early cancer detection, risk assessment, and risk reduction form the focus of this volume.
Book Synopsis Application of Bioinformatics in Cancers by : Chad Brenner
Download or read book Application of Bioinformatics in Cancers written by Chad Brenner and published by MDPI. This book was released on 2019-11-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
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.
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.
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.
Book Synopsis Cancer Bioinformatics by : Sylvia Nagl
Download or read book Cancer Bioinformatics written by Sylvia Nagl and published by . This book was released on 2006-03-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The development and application of bioinformatics tools to basic and translational cancer research is, in fact, a rapidly expanding field that deserves a timely review. Therefore, a publication of this type is needed. The editors have done an excellent job in recruiting well-established scientists to author the various chapters of the book." —Dieter Naf, Jackson Laboratory, USA Cancer bioinformatics is now emerging as a new interdisciplinary field, which is facilitating an unprecedented synthesis of knowledge arising from the life and clinical sciences. This groundbreaking title provides a comprehensive and up-to-date account of the enormous range of bioinformatics for cancer therapy development from the laboratory to clinical trials. It functions as a guide to integrated data exploitation and synergistic knowledge discovery, and support the consolidation of the interdisciplinary research community involved.
Book Synopsis Computational Biology by : Tuan Pham
Download or read book Computational Biology written by Tuan Pham and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.
Book Synopsis Biomedical Data Mining for Information Retrieval by : Sujata Dash
Download or read book Biomedical Data Mining for Information Retrieval written by Sujata Dash and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.
Book Synopsis 'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine by : Nosheen Masood
Download or read book 'Essentials of Cancer Genomic, Computational Approaches and Precision Medicine written by Nosheen Masood and published by Springer Nature. This book was released on 2020-03-20 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
Book Synopsis Data Analytics in Bioinformatics by : Rabinarayan Satpathy
Download or read book Data Analytics in Bioinformatics written by Rabinarayan Satpathy and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Book Synopsis Systems Biology: Applications In Cancer-related Research by : Hsueh-fen Juan
Download or read book Systems Biology: Applications In Cancer-related Research written by Hsueh-fen Juan and published by World Scientific. This book was released on 2012-02-29 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive “systems” view.Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.
Book Synopsis Cancer Systems Biology, Bioinformatics and Medicine by :
Download or read book Cancer Systems Biology, Bioinformatics and Medicine written by and published by Springer. This book was released on 2011-08-25 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genomic Applications in Pathology by : George Jabboure Netto
Download or read book Genomic Applications in Pathology written by George Jabboure Netto and published by Springer. This book was released on 2018-12-10 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent advances in genomics are continuing to reshape our approach to diagnostics, prognostics and therapeutics in oncologic and other disorders. A paradigm shift in pharmacogenomics and in the diagnosis of genetic inherited diseases and infectious diseases is unfolding as the result of implementation of next generation genomic technologies. With rapidly growing knowledge and applications driving this revolution, along with significant technologic and cost changes, genomic approaches are becoming the primary methods in many laboratories and for many diseases. As a result, a plethora of clinical genomic applications have been implemented in diagnostic pathology laboratories, and the applications and demands continue to evolve rapidly. This has created a tremendous need for a comprehensive resource on genomic applications in clinical and anatomic pathology. We believe that our current textbook provides such a resource to practicing molecular pathologists, hematopathologists and other subspecialized pathologists, general pathologists, pathology and other trainees, oncologists, geneticists and a growing spectrum of other clinicians. With periodic updates and a sufficiently rapid time from submission to publication, this textbook will be the resource of choice for many professionals and teaching programs. Its focus on genomics parallels the evolution of these technologies as primary methods in the clinical lab. The rapid evolution of genomics and its applications in medicine necessitates the (frequent) updating of this publication. This text will provide a state-of-the art review of the scientific principles underlying next generation genomic technologies and the required bioinformatics approaches to analyses of the daunting amount of data generated by current and emerging genomic technologies. Implementation roadmaps for various clinical assays such as single gene, gene panels, whole exome and whole genome assays will be discussed together with issues related to reporting and the pathologist’s role in interpretation and clinical integration of genomic tests results. Genomic applications for site-specific solid tumors and hematologic neoplasms will be detailed. Genomic applications in pharmacogenomics, inherited genetic diseases and infectious diseases will also be discussed. The latest iteration of practice recommendations or guidelines in genomic testing put forth by stakeholder professional organizations such as the College of American Pathology and the Association for Molecular Pathology, will be discussed as well as regulatory issues and laboratory accreditation related to genomic testing. All chapters will be written by experts in their fields and will include the most up to date scientific and clinical information.
Book Synopsis Computation in BioInformatics by : Anand T. Krishnan
Download or read book Computation in BioInformatics written by Anand T. Krishnan and published by John Wiley & Sons. This book was released on 2021-10-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.
Book Synopsis Biomarkers in Cancer Detection and Monitoring of Therapeutics by : Ranbir Chander Sobti
Download or read book Biomarkers in Cancer Detection and Monitoring of Therapeutics written by Ranbir Chander Sobti and published by Academic Press. This book was released on 2023-11-16 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular Biomarkers in Cancer Detection and Monitoring of Therapeutics: Volume Two: Diagnostic and Therapeutic Applications discusses how molecular biomarkers are used to determine predisposition, facilitate detection, improve treatment and offer prevention guidelines for different cancers. It focuses on novel diagnostic techniques based on molecular biomarkers and their impact on treatment, covering different cancer types such as tumors in the nervous system, head and neck, oral and GI tractor, lung, breast, gastric system, leukemia and urogenital tract cancers. For each type, the book discusses the best diagnostic techniques and therapeutic approaches, thus helping readers easily identify the best solution for each case. This is a valuable resource for cancer researchers, oncologists, graduate students and other members of the biomedical field who are interested in the potential of biomarkers in cancer research. Provides up-to-date information on current molecular biomarkers research for cancer Presents new diagnostic techniques using biomarkers that can leverage quicker results that can be essential for patient’s survivorship Discusses several novel therapeutics applied to specific cancer types, such as head and neck, oral, GI tract, breast, lung and hepatocellular carcinomas
Book Synopsis Cancer Genomics for the Clinician by : Ramaswamy Govindan, MD
Download or read book Cancer Genomics for the Clinician written by Ramaswamy Govindan, MD and published by Springer Publishing Company. This book was released on 2019-01-28 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer Genomics for the Clinician is a practical guide to cancer genomics and its application to cancer diagnosis and care. The book begins with a brief overview of the various types of genetic alterations that are encountered in cancer, followed by accessible and applicable information on next generation sequencing technology and bioinformatics; tumor heterogeneity; whole genome, exome, and transcriptome sequencing; epigenomics; and data analysis and interpretation. Each chapter provides essential explanations of concepts, terminology, and methods. Also included are tips for interpreting and analyzing molecular data, as well as a discussion of molecular predictors for targeted therapies covering hematologic malignancies and solid tumors. The final chapter explains the use of FDA-approved genomic-based targeted therapies for breast cancer, lung cancer, sarcomas, gastrointestinal cancers, urologic cancers, head and neck cancer, thyroid cancer, and many more. Assembled in an accessible format specifically designed for the non-expert, this book provides the clinical oncologist, early career practitioner, and trainee with an essential understanding of the molecular and genetic basis of cancer and the clinical aspects that have led to advancements in diagnosis and treatment. With this resource, physicians and trainees will increase their breadth of knowledge and be better equipped to educate patients and families who want to know more about their genetic predispositions to cancer and the targeted therapies that could be considered and prescribed. Key Features: Describes how cancer genomics and next generation sequencing informs cancer screening, risk factors, therapeutic options, and clinical management across cancer types Explains what mutations are, what tests are needed, and how to interpret the results Provides information on FDA-approved targeted therapies that are being used in the clinic Covers different sequencing platforms and technologies and how they perform in research settings Includes access to the fully searchable eBook
Book Synopsis The Applications of Bioinformatics in Cancer Detection by : Asad Umar
Download or read book The Applications of Bioinformatics in Cancer Detection written by Asad Umar and published by . This book was released on 2004 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The state of the science of bioinformatics - that is, application of computer processes to solving biological problems - and its potential for assisting early cancer detection, risk assessment, and risk reduction form the focus of this volume.
