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bioc
epiregulon:Gene regulatory network inference from single cell epigenomic data
Gene regulatory networks model the underlying gene regulation hierarchies that drive gene expression and observed phenotypes. Epiregulon infers TF activity in single cells by constructing a gene regulatory network (regulons). This is achieved through integration of scATAC-seq and scRNA-seq data and incorporation of public bulk TF ChIP-seq data. Links between regulatory elements and their target genes are established by computing correlations between chromatin accessibility and gene expressions.
Maintained by Xiaosai Yao. Last updated 23 days ago.
singlecellgeneregulationnetworkinferencenetworkgeneexpressiontranscriptiongenetargetcpp
14 stars 6.67 score 17 scripts
jakobbossek
grapherator:A Modular Multi-Step Graph Generator
Set of functions for step-wise generation of (weighted) graphs. Aimed for research in the field of single- and multi-objective combinatorial optimization. Graphs are generated adding nodes, edges and weights. Each step may be repeated multiple times with different predefined and custom generators resulting in high flexibility regarding the graph topology and structure of edge weights.
Maintained by Jakob Bossek. Last updated 4 years ago.
combinatorial-optimizationgraph-generatorminimum-spanning-treemulti-objective-optimizationoptimization
9 stars 6.04 score 27 scripts 1 dependents