Computational Life Sciences Ii

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Computational Life Sciences Ii
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Author : Michael R. Berthold
language : en
Publisher: Springer
Release Date : 2006-11-23
Computational Life Sciences Ii written by Michael R. Berthold and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-23 with Science categories.
This book constitutes the refereed proceedings of the Second International Symposium on Computational Life Sciences, CompLife 2006. The 25 revised full papers presented were carefully reviewed and selected from 56 initial submissions. The papers are organized in topical sections on genomics, data mining, molecular simulation, molecular informatics, systems biology, biological networks/metabolism, and computational neuroscience.
Computational Thinking For Life Scientists
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Author : Benny Chor
language : en
Publisher: Cambridge University Press
Release Date : 2022-09-08
Computational Thinking For Life Scientists written by Benny Chor and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-08 with Computers categories.
Introduces fundamental computational ideas and concepts in a biological context, with real-world examples and exercises in Python.
Computational Life Sciences
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Author : Michael Berthold
language : en
Publisher: Springer Science & Business Media
Release Date : 2005
Computational Life Sciences written by Michael Berthold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Bioinformatics categories.
Computational Life Sciences
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Author : Jens Dörpinghaus
language : en
Publisher: Springer Nature
Release Date : 2023-03-04
Computational Life Sciences written by Jens Dörpinghaus and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-04 with Computers categories.
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.
Visualization In Medicine And Life Sciences Ii
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Author : Lars Linsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-11
Visualization In Medicine And Life Sciences Ii written by Lars Linsen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-11 with Mathematics categories.
For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions.
Knowledge Based Systems In Biomedicine And Computational Life Science
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Author : Tuan D. Pham
language : en
Publisher: Springer
Release Date : 2012-12-14
Knowledge Based Systems In Biomedicine And Computational Life Science written by Tuan D. Pham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-14 with Computers categories.
This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: personalized stress diagnosis system, image analysis system for breast cancer diagnosis, analysis of neuronal cell images, structure prediction of protein, relationship between two mental disorders, detection of cardiac abnormalities, holistic medicine based treatment and analysis of life-science data.
Chemical Information Mining
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Author : Debra L. Banville
language : en
Publisher: CRC Press
Release Date : 2008-12-15
Chemical Information Mining written by Debra L. Banville and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-15 with Computers categories.
The First Book to Describe the Technical and Practical Elements of Chemical Text MiningExplores the development of chemical structure extraction capabilities and how to incorporate these technologies in daily research workFor scientific researchers, finding too much information on a subject, not finding enough information, or not being able&nb
Pharmaceutical Data Mining
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Author : Konstantin V. Balakin
language : en
Publisher: John Wiley & Sons
Release Date : 2009-11-19
Pharmaceutical Data Mining written by Konstantin V. Balakin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-19 with Medical categories.
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.
Data Mining In Drug Discovery
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Author : Rémy D. Hoffmann
language : en
Publisher: John Wiley & Sons
Release Date : 2013-09-25
Data Mining In Drug Discovery written by Rémy D. Hoffmann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-25 with Medical categories.
Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing. Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.
Bioinformatics Research And Applications
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Author : Ion Mandoiu
language : en
Publisher: Springer
Release Date : 2007-08-06
Bioinformatics Research And Applications written by Ion Mandoiu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-06 with Science categories.
This book constitutes the refereed proceedings of the Third International Symposium on Bioinformatics Research and Applications, ISBRA 2007, held in Atlanta, GA, USA in May 2007. The 55 revised full papers presented together with three invited talks cover a wide range of topics, including clustering and classification, gene expression analysis, gene networks, genome analysis, motif finding, pathways, protein structure prediction, protein domain interactions, phylogenetics, and software tools.