SINCERITIES

Gene network inference tool

Infers gene regulatory networks from time-stamped single cell transcriptional expression profiles using a statistical method

SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression profiles.

GitHub

12 stars
6 watching
5 forks
last commit: about 7 years ago
Linked from 1 awesome list

network-inferencesingle-cell-analysis

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
pinellolab/dictys Reconstructs dynamic gene regulatory networks from single-cell RNA and ATAC-seq data to understand cell-type specific transcription factor regulation. 111
cabsel/calista Analyzes single cell expression data to infer cellular lineages and clustering structures 9
aertslab/scenic A tool for inferring Gene Regulatory Networks and cell types from single-cell RNA-seq data 422
hmatsu1226/scode An algorithm to infer regulatory networks from single-cell RNA sequencing data during differentiation 43
zjufanlab/spatalk An R package that infers cell-cell communication and ligand-receptor-target networks from spatially resolved transcriptomic data 61
bimsbbioinfo/netsmooth Improves single cell RNA-seq data by smoothing out noise using prior information from gene interaction networks 27
kchen-lab/medalt Software for inferring evolutionary lineage of tumor cells from single cell copy number profiles 17
mathewchamberlain/signacx Classifies cellular phenotype in single-cell RNA sequencing data using neural networks 24
saeyslab/nichenetr Predicts ligand-receptor interactions based on gene expression data and integrates prior knowledge to model intercellular communication. 496
kstreet13/bioc2020trajectories Analyzing and comparing single-cell RNA-seq data across multiple conditions to infer cell trajectories and detect differential expression. 25
catavallejos/basics An integrated Bayesian hierarchical model to analyze single-cell sequencing data 84
lingfeiwang/normalisr A software framework for analyzing single-cell RNA sequencing data 18
kieranrcampbell/ouija A probabilistic framework for inferring pseudotimes from single-cell gene expression data and understanding the underlying regulatory mechanisms. 28
kharchenkolab/numbat Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells 171
cantinilab/scprint An open-source software framework for analyzing single-cell RNA sequencing data and predicting gene networks 35