ZIRFs: Zero-Inflated Random Forests for Estimating Gene Regulatory Networks from Single Cell RNA-seq Data
| Main Author: | Conn, Daniel and Keles, Sunduz |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4637928 |
Daftar Isi:
- We developed a zero-inflated random forests (ZIRFs) algorithm to produce a metric of connection strength between regulator genes and target genes. This file contains SCENIC results for the aorta and diaphragm tissue data sets from the Tabula Muris Consortium results. SCENIC is a genetic regulatory network analysis published by Aibar et al. (2017). The purpose of the data sets and R source code are described by README files in each directory.
- This work was supported by NIH grants HG003747 and HG011371 to S.K., and D.C. was partially supported by NLM grant 5T15LM007359.