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- DescriptionThis book provides an essential understanding of statistical concepts necessary for the analysis of gemic 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 geme-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.
- Author BiographyJae 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.
- Author(s)Jae K. Lee
- PublisherJohn Wiley and Sons Ltd
- Date of Publication14/03/2008
- SubjectLife Sciences: General
- Place of PublicationChicester
- Country of PublicationUnited Kingdom
- ImprintWiley-Blackwell (an imprint of John Wiley & Sons Ltd)
- Content NoteIllustrations
- Weight560 g
- Width157 mm
- Height231 mm
- Spine19 mm
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