Microarray Data Analysis (Paperback, 1st ed. 2022)

This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2401
Release date:	December 2022
Editors:	Giuseppe Agapito
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	317
Edition:	1st ed. 2022
ISBN-13:	978-1-07-161841-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA
LSN:	1-07-161841-5
Barcode:	9781071618417

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