Computational Methods for Single-Cell Data Analysis

✍ Scribed by Yuan, Guo-Cheng

• Publisher: Humana
• Year: 2019
• Tongue: English
• Leaves: 270
• Series: Methods in Molecular Biology 1935
• Category: Library

✦ Table of Contents

1. Quality Control of Single-cell RNA-seq Peng Jiang 2. Normalization for Single-cell RNA-seq Data AnalysisRhonda Bacher 3. Analysis of Technical and Biological Variability in Single-cell RNA SequencingBeomseok Kim, Eunmin Lee, and Jong Kyoung Kim 4. Identification of Cell Types from Single-cell Transcriptomic DataKarthik Shekhar and Vilas Menon 5. Rare Cell Type DetectionLan Jiang 6. scMCA- A Tool Defines Cell Types in Mouse Based on Single-cell Digital ExpressionHuiyu Sun, Yincong Zhou, Lijiang Fei, Haide Chen, and Guoji Guo 7. Differential Pathway AnalysisJean Fan 8. Differential Pathway AnalysisJean Fan 9. Estimating Differentiation Potency of Single Cells using Single Cell Entropy (SCENT)Weiyan Chen and Andrew E Teschendorff 10. Inference of Gene Co-expression Networks from Single-Cell RNA-sequencing DataAlicia T. Lamere and Jun Li 11. Single-cell Allele-specific Gene Expression AnalysisMeichen Dong andYuchao Jiang 12. Using BRIE to Detect and Analyse Splicing Isoforms in scRNA-seq DataYuanhua Huang and Guido Sanguinetti13. Preprocessing and Computational Analysis of Single-cell Epigenomic Datasets Caleb Lareau, Divy Kangeyan, and Martin J. Aryee 14. Experimental and Computational Approaches for Single-cell Enhancer Perturbation AssayShiqi Xie and Gary C. Hon 15. Antigen Receptor Sequence Reconstruction and Clonality Inference from scRNA-seq DataIda Lindeman and Michael J.T. Stubbington 16. A Hidden Markov Random Field Model for Detecting Domain Organizations from Spatial Transcriptomic DataQian Zhu