Microarray Bioinformatics

Amparo Alonso-Betanzos

ISBN 10: 1493994417 / ISBN 13: 9781493994410

Published by Springer New York, Springer New York, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results.Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets.

Seller Inventory # 9781493994410

Bibliographic Details

• Title: Microarray Bioinformatics
• Publisher: Springer New York, Springer New York
• Publication Date: 2019
• Language: English
• ISBN 10: 1493994417
• ISBN 13: 9781493994410
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 23D millimeters 260 millimeters width by 183 millimeters height by 23 millimeters depth
• Weight: 787 grams

About this title

Synopsis

This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. 

Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets.