Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data free ebook download.

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

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Medicine

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Catalogue

Author(s):	Prof. Kim-Anh Do, Prof. Zhaohui Steve Qin

Date:	2013	Format:	PDF	Language:	English	ISBN/ASIN:	1107027527
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	stirkout	Upload Date:	1/29/2021 11:04:46 AM

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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 book describes the integration of high-throughput 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 next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation.

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2951368	Book	https://k2s.cc/file/8011d7b9e7c44...		23.00	stirkout

Tags: Advances Bioinformatics Data High-Throughput Inference Integrative Models Statistical

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