BayesSpace
Gene clustering tool
A Bayesian model for clustering and enhancing spatial gene expression data
Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.
111 stars
3 watching
22 forks
Language: R
last commit: about 1 month ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 ttriche/bayescc | A software tool used to perform Bayesian consensus clustering of data. | 19 |
 galadrielbriere/clustomics | An open-source software tool for applying consensus clustering to multi-omic data for disease subtyping | 5 |
 umich-biostatistics/ibag | An R application for conducting Bayesian analyses of genomic models using a user-friendly interface. | 5 |
 qsong-github/sclm | A tool to automatically identify co-expressed genes across multiple single-cell RNA-seq datasets | 2 |
 teichlab/spatialde | Tools and methods to analyze gene expression data in relation to spatial coordinates | 145 |
 dmcable/spacexr | Software package for cell type identification and differential expression in spatial transcriptomics | 312 |
 maxsklar/bayespy | A Python library for Bayesian inference and multinomial mixture modeling | 108 |
 qifeidkn/stagate | A software framework for learning spatial embeddings from high-dimensional transcriptomics data using an adaptive graph attention auto-encoder | 37 |
 broadinstitute/tangram | A Python package for aligning single-cell transcriptomic data with spatial gene expression data. | 258 |
 hemberg-lab/sc3 | A tool for clustering cells from single cell RNA-Seq experiments | 119 |
 kieranrcampbell/clonealign | A software package that uses Bayesian inference to assign gene expression estimates from single-cell RNA-seq and DNA-seq data to specific cancer clones. | 32 |
 metagenomics/meragene | An open-source software pipeline that uses Hidden-Markov-Models to identify genes in metagenomics data and provide reliable results | 4 |
 andreaskapou/melissa | A software framework for analyzing single-cell DNA methylation data using Bayesian methods | 14 |
 jefworks-lab/honeybadger | An R package that uses Bayesian inference and hidden Markov models to detect genetic variations in single-cell RNA-seq data | 96 |
 hexgnu/wine_clustering | An application of machine learning to cluster similar data points from various sources | 0 |