phenotype-cover
Biomarker selector
An algorithmic toolkit for biomarker selection based on set cover and cross-entropy methods
A package for biomarker selection based on multiset multicover and the cross-entropy-method.
3 stars
1 watching
0 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
biomarkerbiomarker-discoverygenesscrna-seqset-cover
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
| euxhenh/cellar | An interactive software tool for analyzing single-cell omics data | 32 |
 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 |
 aertslab/cistopic | An R package for identifying cell states and cis-regulatory topics from single-cell epigenomics data | 135 |
 notranslationlayer/biomarkerdash | A Python-based dashboard to visualize bloodwork biomarker trends and allows for easy data import from CSV files | 16 |
 mathewchamberlain/signacx | Classifies cellular phenotype in single-cell RNA sequencing data using neural networks | 24 |
 manuel-calzolari/sklearn-genetic | A genetic feature selection tool for machine learning models | 323 |
 dmcable/spacexr | Software package for cell type identification and differential expression in spatial transcriptomics | 322 |
 eiriniar/cellcnn | A Python-based software framework for analyzing mass/flow cytometry data to identify phenotype-associated cell subsets. | 65 |
 weiqiangzhou/bird | A software tool that predicts DNase I hypersensitivity based on gene expression data | 30 |
 kdkorthauer/scdd | An R package to identify genes with differential distributions in single-cell RNA-seq experiments | 32 |
 perone/euclidesdb | A multi-model machine learning feature database tightly coupled with PyTorch and providing a backend for storing and querying model features | 633 |
 cbg-ethz/netics | Tools for integrating multi-omics data to prioritize cancer genes | 15 |
| kchen-lab/medalt | Software for inferring evolutionary lineage of tumor cells from single cell copy number profiles | 17 |
 nghiavtr/bpsc | A package for analyzing single-cell RNA-seq data using a beta-Poisson model. | 16 |
 epistasislab/scikit-rebate | An implementation of Relief-based feature selection algorithms for Machine Learning. | 413 |