Advances in Statistical Bioinformatics: Models and Integrative Inference for HighThroughput Data,Used

Advances in Statistical Bioinformatics: Models and Integrative Inference for HighThroughput Data,Used

SKU: SONG1107027527 In Stock
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Providing genomeinformed 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 genomescale 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 book describes the integration of highthroughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and nextgeneration sequencing data. This material is written for statisticians who are interested in modeling and analyzing highthroughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform highthroughput experimentation.

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