MetaMarkers
Marker finder
A tool for identifying robust marker signatures across single-cell datasets
Efficiently compute robust markers across single-cell datasets
11 stars
5 watching
5 forks
Language: R
last commit: over 4 years ago
Linked from 1 awesome list
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tanaylab/metacell | An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells. | 110 |
 kchen-lab/scmarker | A tool to identify cell-specific markers from single-cell RNA sequencing data by filtering out genes with unimodal distributions and selecting synergistically expressed gene pairs. | 15 |
 fitzlab-al/gdm | This package provides functions to fit and apply Generalized Dissimilarity Modeling to analyze spatial patterns of biodiversity. | 35 |
 kenlaulab/dropkick | Automated cell filtering tool for single-cell RNA sequencing data analysis | 24 |
 microsoft/taganomaly | Anomaly detection tool for multiple time series data with interactive visualization and labeling capabilities | 324 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 yeolab/anchor | An algorithm to identify unimodal, bimodal, and multimodal features in data | 27 |
 kylehamilton/mavis | An R-based web application for meta-analysis that allows users to analyze and visualize effect sizes from published studies. | 36 |
 ubiquityrobotics/fiducials | This system uses ceiling-mounted markers to help a robot determine its location and orientation | 270 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 patois/xray | Tool for filtering and highlighting decompiler output based on regular expressions | 125 |
 compbel/scifil | A computational tool for analyzing single cell sequencing data to infer fitness landscapes of cancer cell populations. | 5 |
 teichlab/cellity | A tool for identifying and classifying low-quality cells in single-cell RNA sequencing data using machine learning and statistical methods. | 37 |
 metagenomics/meragene | An open-source software pipeline that uses Hidden-Markov-Models to identify genes in metagenomics data and provide reliable results | 4 |
 robertaboukhalil/ginkgo | An analysis tool for single-cell copy-number variation data from sequencing experiments. | 47 |