CABSEL / SINCERITIES
SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression profiles.
☆13Updated 7 years ago
Alternatives and similar repositories for SINCERITIES:
Users that are interested in SINCERITIES are comparing it to the libraries listed below
- Causal inference, differential expression, and co-expression for scRNA-seq☆18Updated 3 years ago
- Multi-study integration of cellular trajectories☆18Updated 4 years ago
- A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data☆21Updated last month
- Dynamic models for single-cell RNA-seq time series.☆40Updated 6 years ago
- scOpen: single-cell open chromatin analysis via NMF modelling☆25Updated 2 years ago
- benchmark for single-cell RNA-seq imputation methods☆25Updated 11 months ago
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆20Updated 10 months ago
- NATMI: Network Analysis Toolkit for the Multicellular Interactions☆35Updated 3 years ago
- PRObabilistic Simulations of ScRNA-seq Tree-like Topologies☆26Updated last year
- R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening …☆18Updated last year
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆39Updated 11 months ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 3 years ago
- ☆18Updated 3 years ago
- DeepLoop robustly identifies enhancer-promoter interactions from low-depth and single-cell Hi-C data☆31Updated 2 years ago
- PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data☆42Updated last year
- Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles☆29Updated 4 years ago
- ☆25Updated 3 years ago
- A python package for chromVAR☆27Updated last year
- Code for scKINETICS (ISMB 2023)☆21Updated last year
- R package for transfer learning of single-cell RNA-seq denoising☆29Updated 2 years ago
- High-definition modeling of chromatin + transcriptomics data☆21Updated 3 months ago
- ☆34Updated 9 months ago
- ☆45Updated 6 months ago
- ☆10Updated last year
- ☆16Updated 8 months ago
- ScoMAP is an R package to spatially integrate single-cell omics data into virtual cells and infer enhancer-to-gene relationships.☆27Updated 3 years ago
- ☆23Updated last month
- Information-based dimensionality reduction☆29Updated 2 months ago
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆26Updated 4 years ago