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Item Details
| Title:
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STATISTICAL BIOINFORMATICS
FOR BIOMEDICAL AND LIFE SCIENCE RESEARCHERS |
| By: |
Jae K. Lee |
| Format: |
Paperback |
| List price:
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£110.95 |
| Our price: |
£99.86 |
| Discount: |
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| You save:
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£11.09 |
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| ISBN 10: |
0471692727 |
| ISBN 13: |
9780471692720 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
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| Stock: |
Currently 0 available |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
14 March, 2008 |
| Pages: |
364 |
| Description: |
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. |
| Synopsis: |
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. |
| Illustrations: |
Illustrations |
| Publication: |
UK |
| Imprint: |
Wiley-Blackwell (an imprint of John Wiley & Sons Ltd) |
| Returns: |
Returnable |
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