Computational Methods for Single-Cell Data Analysis - Yuan, Guo-Cheng.; SpringerLink (Online service) (New York, NY : Springer New York : Imprint: Humana, 2019)
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 Model for Detecting Domain Organizations from Spatial Transcriptomic Data.
Keywords: Bioinformatics; Cell biology; Bioinformatics; Cell Biology