Computational Methods for Single-Cell Data Analysis

Author:   Guo-Cheng Yuan
Publisher:   Humana Press Inc.
Edition:   1st ed. 2019
Volume:   1935
ISBN:  

9781493990566


Pages:   271
Publication Date:   14 February 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Methods for Single-Cell Data Analysis


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Author:   Guo-Cheng Yuan
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   1st ed. 2019
Volume:   1935
Weight:   0.765kg
ISBN:  

9781493990566


ISBN 10:   149399056
Pages:   271
Publication Date:   14 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Quality Control of Single-cell RNA-seq.- Normalization for Single-cell RNA-seq Data Analysis.- Analysis of Technical and Biological Variability in Single-cell RNA Sequencing.- Identification of Cell Types from Single-cell Transcriptomic Data.- Rare Cell Type Detection.- scMCA- A Tool Defines Cell Types in Mouse Based on Single-cell Digital Expression.- Differential Pathway Analysis.- Differential Pathway Analysis.- Estimating Differentiation Potency of Single Cells using Single Cell Entropy (SCENT).- Inference of Gene Co-expression Networks from Single-Cell RNA-sequencing Data.- Single-cell Allele-specific Gene Expression Analysis.- Using BRIE to Detect and Analyse Splicing Isoforms in scRNA-seq Data.- Preprocessing and Computational Analysis of Single-cell Epigenomic Datasets.- Experimental and Computational Approaches for Single-cell Enhancer Perturbation Assay.- Antigen Receptor Sequence Reconstruction and Clonality Inference from scRNA-seq Data.- A Hidden Markov Random Field Modelfor Detecting Domain Organizations from Spatial Transcriptomic Data.

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