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.
Edited by:
Giuseppe Agapito Imprint: Springer-Verlag New York Inc. Country of Publication: United States Edition: 2021 ed. Volume: 2401 Dimensions:
Height: 254mm,
Width: 178mm,
Weight: 823g ISBN:9781071618387 ISBN 10: 1071618385 Series:Methods in Molecular Biology Pages: 317 Publication Date:14 December 2021 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active