Statistical Bioinformatics: For Biomedical and Life Science Researchers

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9780471692720: Statistical Bioinformatics: For Biomedical and Life Science Researchers

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.

  • Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics
  • Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences
  • Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis
  • Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis
  • Offers programming examples and datasets
  • Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material
  • Features supplementary materials, including datasets, links, and a statistical package available online

Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

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From the Back Cover:

A practical introduction to the underlying statistical concepts and techniques for successful use of bioinformatics tools

Effective use of the tools and methods of bioinformatics requires a careful understanding of not only the relevant biology and computational problems, but also critical statistical principles. Statistical Bioinformatics provides an essential understanding of the novel statistical concepts necessary for the analysis of genomic and proteomic data using various bioinformatics and computational techniques. Dr. Jae Lee and the authors present both basic and advanced topics, focusing on those that are relevant to the efficient and rigorous analysis of large data sets in biology.

The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multidimensional visualization, experimental design, statistical resampling, and statistical network analysis. Chapters begin with a description of a statistical concept and practical examples from biomedical research, followed by more detailed presentation, discussion of limitations, and problems.

  • Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics

  • Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences

  • Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis

  • Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis

  • Offers programming examples and datasets

  • Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material

  • Features supplementary materials, including datasets, links, and a statistical package available online

Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

About the Author:

Jae K. Lee, Ph.D., is a professor of biostatistics and epidemiology in the Department of Health Evaluation Sciences at the University of Virginia School of Medicine, where he designed and teaches a course on Statistical Bioinformatics in Medicine. He earned his doctorate in statistical genetics from the University of Wisconsin, Madison. He was previously a research scientist in the Laboratory of Molecular Pharmacology, National Cancer Institute. Among his current research interests is the integration of statistical and genomic information for the analysis of microarray data.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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Lee, Jae K.
Editore: Somerset, New Jersey, U.S.A.: Blackwell Pub (2010)
ISBN 10: 0471692727 ISBN 13: 9780471692720
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Descrizione libro Somerset, New Jersey, U.S.A.: Blackwell Pub, 2010. Soft cover. Condizione libro: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,ht. Codice libro della libreria ABE-7496032313

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Lee, Jae K.
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ISBN 10: 0471692727 ISBN 13: 9780471692720
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Descrizione libro Wiley-Blackwell, 2014. Paperback. Condizione libro: New. Codice libro della libreria P110471692727

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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2014. Paperback. Condizione libro: New. 1. Auflage. Language: English . Brand New Book. This book provides an essential understanding of statisticalconcepts necessary for the analysis of genomic and proteomic datausing computational techniques. The author presents both basic andadvanced topics, focusing on those that are relevant to thecomputational analysis of large data sets in biology. Chaptersbegin with a description of a statistical concept and a currentexample from biomedical research, followed by more detailedpresentation, discussion of limitations, and problems. The bookstarts with an introduction to probability and statistics forgenome-wide data, and moves into topics such as clustering,classification, multi-dimensional visualization, experimentaldesign, statistical resampling, and statistical network analysis. * Clearly explains the use of bioinformatics tools in lifesciences research without requiring an advanced background inmath/statistics * Enables biomedical and life sciences researchers tosuccessfully evaluate the validity of their results and makeinferences * Enables statistical and quantitative researchers to rapidlylearn novel statistical concepts and techniques appropriate forlarge biological data analysis * Carefully revisits frequently used statistical approaches andhighlights their limitations in large biological data analysis * Offers programming examples and datasets * Includes chapter problem sets, a glossary, a list ofstatistical notations, and appendices with references to backgroundmathematical and technical material * Features supplementary materials, including datasets, links,and a statistical package available online Statistical Bioinformatics is an ideal textbook forstudents in medicine, life sciences, and bioengineering, aimed atresearchers who utilize computational tools for the analysis ofgenomic, proteomic, and many other emerging high-throughputmolecular data. It may also serve as a rapid introduction to thebioinformatics science for statistical and computational studentsand audiences who have not experienced such analysis tasksbefore. Codice libro della libreria AAH9780471692720

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Jae K. Lee
Editore: John Wiley and Sons Ltd, United Kingdom (2014)
ISBN 10: 0471692727 ISBN 13: 9780471692720
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Descrizione libro John Wiley and Sons Ltd, United Kingdom, 2014. Paperback. Condizione libro: New. 1. Auflage. Language: English . Brand New Book. This book provides an essential understanding of statisticalconcepts necessary for the analysis of genomic and proteomic datausing computational techniques. The author presents both basic andadvanced topics, focusing on those that are relevant to thecomputational analysis of large data sets in biology. Chaptersbegin with a description of a statistical concept and a currentexample from biomedical research, followed by more detailedpresentation, discussion of limitations, and problems. The bookstarts with an introduction to probability and statistics forgenome-wide data, and moves into topics such as clustering,classification, multi-dimensional visualization, experimentaldesign, statistical resampling, and statistical network analysis. * Clearly explains the use of bioinformatics tools in lifesciences research without requiring an advanced background inmath/statistics * Enables biomedical and life sciences researchers tosuccessfully evaluate the validity of their results and makeinferences * Enables statistical and quantitative researchers to rapidlylearn novel statistical concepts and techniques appropriate forlarge biological data analysis * Carefully revisits frequently used statistical approaches andhighlights their limitations in large biological data analysis * Offers programming examples and datasets * Includes chapter problem sets, a glossary, a list ofstatistical notations, and appendices with references to backgroundmathematical and technical material * Features supplementary materials, including datasets, links,and a statistical package available online Statistical Bioinformatics is an ideal textbook forstudents in medicine, life sciences, and bioengineering, aimed atresearchers who utilize computational tools for the analysis ofgenomic, proteomic, and many other emerging high-throughputmolecular data. It may also serve as a rapid introduction to thebioinformatics science for statistical and computational studentsand audiences who have not experienced such analysis tasksbefore. Codice libro della libreria AAH9780471692720

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Descrizione libro Wileyand#8211;Blackwell, 2010. PAP. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FW-9780471692720

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Descrizione libro John Wiley and Sons Ltd. Paperback. Condizione libro: new. BRAND NEW, Statistical Bioinformatics: For Biomedical and Life Science Researchers, Jae K. Lee, This book provides an essential understanding of statisticalconcepts necessary for the analysis of genomic and proteomic datausing computational techniques. The author presents both basic andadvanced topics, focusing on those that are relevant to thecomputational analysis of large data sets in biology. Chaptersbegin with a description of a statistical concept and a currentexample from biomedical research, followed by more detailedpresentation, discussion of limitations, and problems. The bookstarts with an introduction to probability and statistics forgenome-wide data, and moves into topics such as clustering,classification, multi-dimensional visualization, experimentaldesign, statistical resampling, and statistical network analysis. * Clearly explains the use of bioinformatics tools in lifesciences research without requiring an advanced background inmath/statistics * Enables biomedical and life sciences researchers tosuccessfully evaluate the validity of their results and makeinferences * Enables statistical and quantitative researchers to rapidlylearn novel statistical concepts and techniques appropriate forlarge biological data analysis * Carefully revisits frequently used statistical approaches andhighlights their limitations in large biological data analysis * Offers programming examples and datasets * Includes chapter problem sets, a glossary, a list ofstatistical notations, and appendices with references to backgroundmathematical and technical material * Features supplementary materials, including datasets, links,and a statistical package available online Statistical Bioinformatics is an ideal textbook forstudents in medicine, life sciences, and bioengineering, aimed atresearchers who utilize computational tools for the analysis ofgenomic, proteomic, and many other emerging high-throughputmolecular data. It may also serve as a rapid introduction to thebioinformatics science for statistical and computational studentsand audiences who have not experienced such analysis tasksbefore. Codice libro della libreria B9780471692720

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Descrizione libro Wiley-Blackwell, 2014. Paperback. Condizione libro: New. book. Codice libro della libreria 0471692727

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Descrizione libro Wiley-Blackwell, 2010. Paperback. Condizione libro: New. 1. Codice libro della libreria DADAX0471692727

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Descrizione libro Blackwell Pub, 2010. Paperback. Condizione libro: Brand New. 1st edition. 384 pages. 9.33x6.26x0.75 inches. In Stock. Codice libro della libreria __0471692727

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Descrizione libro Wiley-Blackwell. PAPERBACK. Condizione libro: New. 0471692727 New US Edition Textbook, Ships with Emailed Tracking from USA. Codice libro della libreria Z0471692727ZN

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