Pinned Repositories
AUCell
AUCell: score single cells with gene regulatory networks
GENIE3
GENIE3 (GEne Network Inference with Ensemble of trees) R-package
pySCENIC
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
RcisTarget
RcisTarget: Transcription factor binding motif enrichment
SCENIC
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
scenicplus
SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.
coursera-deep-learning
Code resources of the online specialization Deep Learning on Coursera.
SCENIC
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
vsn-pipelines
A repository of pipelines for single-cell data in Nextflow DSL2
winter_school_2021
s-aibar's Repositories
s-aibar/coursera-deep-learning
Code resources of the online specialization Deep Learning on Coursera.
s-aibar/SCENIC
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
s-aibar/vsn-pipelines
A repository of pipelines for single-cell data in Nextflow DSL2
s-aibar/winter_school_2021