JCVenterInstitute / NSForestLinks
A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
☆66Updated 3 months ago
Alternatives and similar repositories for NSForest
Users that are interested in NSForest are comparing it to the libraries listed below
Sorting:
- Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…☆56Updated 6 months ago
- Single-Cell Clustering Assessment Framework☆107Updated 2 years ago
- ☆48Updated 7 years ago
- Gene regulatory network containing signed transcription factor-target gene interactions☆91Updated 6 months ago
- User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins☆67Updated last month
- Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).☆86Updated last week
- Capybara: A computational tool to measure cell identity and fate transitions☆60Updated 3 years ago
- A method to rapidly assess cell type identity using both functional and random gene sets☆40Updated 11 months ago
- Code to reproduce the analysis of "Decoding gene regulation in the mouse embryo using single-cell multi-omics""☆40Updated 3 years ago
- All code associated with manuscript detailing scATAC and scRNA-seq following stimulus of PBMCs☆41Updated 2 years ago
- ☆44Updated last week
- pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.☆78Updated 2 months ago
- Methods to compute Local Inverse Simpson's Index (LISI)☆71Updated 4 years ago
- Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.☆81Updated 8 months ago
- A R package for integrated scRNA-seq data analysis using the RPCI algorithm☆44Updated last year
- A repo with random short code snippets☆41Updated 6 years ago
- Single Cell Cluster Evaluation☆98Updated 4 years ago
- ☆53Updated 2 years ago
- A tool that allows to get UMI counts from a single cell protein assay☆86Updated 7 months ago
- Identify genes with spatial expression trends in single-cell gene expression data☆50Updated 7 years ago
- scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics☆56Updated last year
- ☆51Updated 3 weeks ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆66Updated 5 months ago
- Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition☆62Updated last year
- Gene signature extraction and cell-identity recognition at individual cell level from single-cell RNA-seq.☆95Updated 2 years ago
- Python implementation of Milo for differential abundance testing on KNN graph☆77Updated 9 months ago
- .h5mu files interface for Seurat☆32Updated 2 years ago
- Analysis of cell-cell communication at single-cell resolution☆105Updated last year
- ☆41Updated 4 years ago
- R implementation of MULTI-seq sample classification workflow☆64Updated 2 years ago