AMARETTO
Cancer gene finder
An algorithm for identifying cancer driver genes by integrating multi-omics data and penalized regression
Regulatory network inference and driver gene evaluation using integrative multi-omics analysis and penalized regression
16 stars
11 watching
12 forks
Language: R
last commit: almost 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 metagenomics/meragene | An open-source software pipeline that uses Hidden-Markov-Models to identify genes in metagenomics data and provide reliable results | 4 |
 buenrostrolab/figr | A computational framework that integrates single-cell chromatin accessibility and gene expression data to infer transcriptional regulators of target genes. | 39 |
 sigven/pcgr | Software tool for annotating and interpreting cancer genome data to support precision oncology | 256 |
 wittelab/orchid | An annotation and machine learning framework for analyzing cancer mutations | 31 |
 kchen-lab/medalt | Software for inferring evolutionary lineage of tumor cells from single cell copy number profiles | 17 |
 zuberlab/mageck-nf | Analyzes multiplexed CRISPR/shRNA Screens using statistical methods | 3 |
 chenmengjie/viper | A software package implementing a method to impute missing values in gene expression data using a penalized regression model | 18 |
 nghiavtr/bpsc | A package for analyzing single-cell RNA-seq data using a beta-Poisson model. | 16 |
 kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
 lengning/oefinder | An R-based tool for identifying ordering effect genes in single cell RNA-seq data | 3 |
 aertslab/scenic | A tool for inferring Gene Regulatory Networks and cell types from single-cell RNA-seq data | 422 |
 teichlab/spatialde | Tools and methods to analyze gene expression data in relation to spatial coordinates | 151 |
 fridleylab/spatialge | A software package for analyzing and visualizing spatial gene expression data from single-cell RNA sequencing assays. | 13 |
 pachterlab/gget | Enables efficient querying of genomic databases using a modular approach and multiple tools | 955 |
| aertslab/cistopic | An R package for identifying cell states and cis-regulatory topics from single-cell epigenomics data | 135 |