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Computational Methods for Single-Cell Data Analysis on Hardback
Computational Methods for Single-Cell Data Analysis on Hardback
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Computational Methods for Single-Cell Data Analysis

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Description

This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
Release date Australia
February 14th, 2019
Audience
  • Professional & Vocational
Contributor
  • Edited by Guo-Cheng Yuan
Edition
1st ed. 2019
Illustrations
156 Illustrations, color; 12 Illustrations, black and white; X, 271 p. 168 illus., 156 illus. in color.
Pages
271
ISBN-13
9781493990566
Product ID
28505513

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