Overview
- Includes cutting-edge techniques
- Provides step-by-step detail essential for reproducible results
- Contains key implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 1935)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(16 protocols)
About this book
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.
Editors and Affiliations
-
Dana–Farber Cancer Institute and Harvard Chan, School of Public Health, Boston, USA
Guo-Cheng Yuan
Bibliographic Information
Book Title: Computational Methods for Single-Cell Data Analysis
Editors: Guo-Cheng Yuan
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-9057-3
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2019
Hardcover ISBN: 978-1-4939-9056-6Published: 14 February 2019
eBook ISBN: 978-1-4939-9057-3Published: 13 February 2019
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 271
Number of Illustrations: 12 b/w illustrations, 156 illustrations in colour
Topics: Bioinformatics, Cell Biology