1. Quality Control of Single-cell RNA-seq Peng Jiang
2. Normalization for Single-cell RNA-seq Data Analysis
Rhonda Bacher
3. Analysis of Technical and Biological Variability in Single-cell RNA Sequencing
Beomseok Kim, Eunmin Lee, and Jong Kyoung Kim
4. Identification of Cell Types from Single-cell Transcriptomic Data
Karthik Shekhar and Vilas Menon
5. Rare Cell Type Detection
Lan Jiang
6. scMCA- A Tool Defines Cell Types in Mouse Based on Single-cell Digital Expression
Huiyu Sun, Yincong Zhou, Lijiang Fei, Haide Chen, and Guoji Guo
7. Differential Pathway Analysis
Jean Fan
8. Differential Pathway Analysis
Jean 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 Data
Alicia T. Lamere and Jun Li
11. Single-cell Allele-specific Gene Expression Analysis
Meichen Dong andYuchao Jiang
12. Using BRIE to Detect and Analyse Splicing Isoforms in scRNA-seq Data
Yuanhua Huang and Guido Sanguinetti
13. 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 Assay
Shiqi Xie and Gary C. Hon
15. Antigen Receptor Sequence Reconstruction and Clonality Inference from scRNA-seq Data
Ida Lindeman
and Michael J.T. Stubbington
16. A Hidden Markov Random Field Model for Detecting Domain Organizations from Spatial Transcriptomic Data
Qian Zhu
