Melissa
Methylation analysis tool
A software framework for analyzing single-cell DNA methylation data using Bayesian methods
Bayesian Clustering and Imputation of Single Cell Methylomes
14 stars
5 watching
7 forks
Language: R
last commit: about 6 years agoLinked from 1 awesome list
bayesian-inferenceclusteringimputationmethylationvariational-inference
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 lkremer/scbs | A command-line tool for analyzing single-cell DNA methylation data | 11 |
 nf-core/methylseq | Bioinformatics pipeline for analyzing DNA methylation data from bisulfite sequencing | 148 |
 edward130603/bayesspace | A Bayesian model for clustering and enhancing spatial gene expression data | 114 |
 kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
 wittelab/orchid | An annotation and machine learning framework for analyzing cancer mutations | 31 |
 robertaboukhalil/ginkgo | An analysis tool for single-cell copy-number variation data from sequencing experiments. | 47 |
 amber-md/cpptraj | Tools for analyzing and processing molecular dynamics trajectory data | 139 |
 angelolab/ark-analysis | A toolset for analyzing multiplexed imaging data by applying various machine learning and image processing techniques to segment cells, cluster pixels, and perform spatial analysis. | 78 |
 mianalysis/mia | Provides a modular framework for assembling image and object analysis workflows in the context of ImageJ/Fiji | 11 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 colomemaria/episcanpy | A toolkit for analyzing single-cell epigenomics data from open chromatin and DNA methylation experiments. | 141 |
 jhu99/scbean | Analyzes single-cell multi-omics data from various modalities like RNA-seq and ATAC-seq | 16 |
 kylehamilton/mavis | An R-based web application for meta-analysis that allows users to analyze and visualize effect sizes from published studies. | 36 |
 jries/smap | An analysis platform for super-resolution microscopy data | 66 |
 hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |