Computational Methods for Single Cell Data Analysis is popular PDF and ePub book, written by Guo-Cheng Yuan in 2019-02-14, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Computational Methods for Single Cell Data Analysis can be Read Online from any device for your convenience.
Computational Methods for Single Cell Data Analysis Book PDF Summary
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.
Detail Book of Computational Methods for Single Cell Data Analysis PDF
- Author : Guo-Cheng Yuan
- Release : 14 February 2019
- Publisher : Humana Press
- ISBN : 149399056X
- Genre : Science
- Total Page : 271 pages
- Language : English
- PDF File Size : 20,9 Mb
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