Advances in Statistical Bioinformatics [Kindle Edition]
Author: Kim-Anh Do Zhaohui S. Qin Marina Vannucci | Language: English | ISBN: B00CMNTOLY | Format: PDF, EPUB
Advances in Statistical Bioinformatics
Direct download links available Advances in Statistical Bioinformatics [Kindle Edition] for everyone book 4shared, mediafire, hotfile, and mirror link 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. Download latest books on mediafire and other links compilation Advances in Statistical Bioinformatics [Kindle Edition]
Direct download links available Advances in Statistical Bioinformatics [Kindle Edition] for everyone book 4shared, mediafire, hotfile, and mirror link 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. Download latest books on mediafire and other links compilation Advances in Statistical Bioinformatics [Kindle Edition]
- File Size: 6372 KB
- Print Length: 511 pages
- Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
- Publisher: Cambridge University Press; 1 edition (June 25, 2013)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00CMNTOLY
- Text-to-Speech: Enabled
- Lending: Not Enabled
- Amazon Best Sellers Rank: #1,603,682 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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