Question: Regulatory Network Inference from Single-cell RNAseq Data
gravatar for whou
2.1 years ago by
whou0 wrote:

Dear all,

I am a postdoc with applied mathematics and bioinformatics background. I recently proceed to work on dynamic network inference from single-cell RNA-seq (scRNA-seq) data. We already got paired-ended scRNA-seq data generated from Illumina HiSeq but haven't started analysis yet. I have machine learning skills but have no idea how to analyze scRNA-seq. I've explored network inference methods from papers and started to take online courses on molecular biology.

Could anyone recommend up-to-date gene regulatory network inference methods or scRNA-seq analysis methods?


Here are the sources that I have found so far:


  1. Bayesian Approach to Single-Cell RNA-Seq Differential Expression Analysis (June 12, 2014)

  2. MAGIC: A diffusion-based imputation method reveals gene-gene interactions in single-cell RNA-sequencing data. (2017)

  3. SCENIC: single-cell regulatory network inference and clustering. (2017)

[Youtube tutorial]

  1. How to analyze RNA-Seq data? Find differentially expressed genes in your research. (Oct 6, 2016)
ADD COMMENTlink modified 2.1 years ago by genomax80k • written 2.1 years ago by whou0
gravatar for genomax
2.1 years ago by
United States
genomax80k wrote:

All you want to know about scRNA:
Single Cell RNAseq data analysis protocol

ADD COMMENTlink modified 2.1 years ago • written 2.1 years ago by genomax80k
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