Integrating Omics Data

Integrating Omics Data
Author :
Publisher : Cambridge University Press
Total Pages : 497
Release :
ISBN-10 : 9781107069114
ISBN-13 : 1107069114
Rating : 4/5 (114 Downloads)

Book Synopsis Integrating Omics Data by : George Tseng

Download or read book Integrating Omics Data written by George Tseng and published by Cambridge University Press. This book was released on 2015-09-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.


Integrating Omics Data Related Books

Integrating Omics Data
Language: en
Pages: 497
Authors: George Tseng
Categories: Mathematics
Type: BOOK - Published: 2015-09-23 - Publisher: Cambridge University Press

GET EBOOK

Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.
System Biology Methods and Tools for Integrating Omics Data
Language: en
Pages: 233
Authors: Liang Cheng
Categories: Science
Type: BOOK - Published: 2020-12-31 - Publisher: Frontiers Media SA

GET EBOOK

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series:
Multivariate Data Integration Using R
Language: en
Pages: 331
Authors: Kim-Anh LĂȘ Cao
Categories: Mathematics
Type: BOOK - Published: 2021-11-08 - Publisher: CRC Press

GET EBOOK

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good tra
Random Walks and Electric Networks
Language: en
Pages: 174
Authors: Peter G. Doyle
Categories: Electric network topology
Type: BOOK - Published: 1984-12-31 - Publisher: American Mathematical Soc.

GET EBOOK

Probability theory, like much of mathematics, is indebted to physics as a source of problems and intuition for solving these problems. Unfortunately, the level
Learning to Classify Text Using Support Vector Machines
Language: en
Pages: 218
Authors: Thorsten Joachims
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifie