[PDF.98qh] Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data

Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data

[PDF.ie94] Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data

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 | #3510007 in Books |  2013-06-10 | Original language:English | PDF # 1 |  8.98 x1.14 x5.98l,1.75 | File type: PDF | 514 pages

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||About the Author|Dr Kim-Anh Do is a Professor of Biostatistics, ad interim Head of the Division of Quantitative Sciences, and ad interim Chair of the Department of Biostatistics at the University of Texas MD Anderson Cancer Center.

Zhaohui Steve Qin i

Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this...

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