vahuynh / dynGENIE3
Semi-parametric approach for the inference of gene regulatory networks from time series of expression data
☆22Updated 10 months ago
Alternatives and similar repositories for dynGENIE3:
Users that are interested in dynGENIE3 are comparing it to the libraries listed below
- Dynamic models for single-cell RNA-seq time series.☆39Updated 6 years ago
- scNMT-seq gastrulation☆42Updated last year
- ☆31Updated 5 years ago
- Examples analyses using the single-cell RNA-seq data from mouse cell atlases☆23Updated 5 years ago
- GENIE3 (GEne Network Inference with Ensemble of trees) R-package☆30Updated 2 years ago
- Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles☆29Updated 4 years ago
- ☆56Updated 4 months ago
- Fast motif matching in R☆44Updated last year
- binned motif enrichment analysis and visualisation☆40Updated this week
- Predicted cell-cell interactions of the aging mouse brain☆20Updated 5 years ago
- Compendium to "A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines"☆53Updated 3 years ago
- ☆12Updated 8 months ago
- Explore and download data from the recount3 project☆31Updated last month
- processes GoT amplicon data and generates a table of metrics☆27Updated 2 years ago
- Data analysis scripts for Datlinger et. al, 2017 (doi:10.1038/nmeth.4177)☆30Updated 6 years ago
- ☆35Updated 10 months ago
- Inferring gene co-expression networks from single cell gene expression data☆24Updated 2 years ago
- Short Time-series Expression Miner (STEM) and Dynamic Regulatory Events Miner (DREM)☆20Updated 4 years ago
- Single-cell Scalable Visualization and Analytics☆25Updated 5 years ago
- Regulatory networks with Direct Information in python☆39Updated last year
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆54Updated 9 months ago
- A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data☆21Updated 3 weeks ago
- Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipeline☆43Updated last year
- ☆29Updated last year
- Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation☆21Updated 7 months ago
- A study to compare methods for clustering of scRNA-seq data☆42Updated 6 months ago
- Brain-related -omics data☆25Updated 6 months ago
- This is the code release for paper Continuous State HMMs for Modeling Time Series Single Cell RNA-Seq Data☆22Updated 7 years ago
- Regulatory networks with Direct Information☆16Updated 5 years ago
- benchmark for single-cell RNA-seq imputation methods☆25Updated 10 months ago