JamesJoly / DGSEALinks
An R package to implement Differential Gene Set Enrichment Analysis (DGSEA): A statistical approach to quantify the relative enrichment of two gene sets.
☆13Updated 2 years ago
Alternatives and similar repositories for DGSEA
Users that are interested in DGSEA are comparing it to the libraries listed below
Sorting:
- SCASA: Single cell transcript quantification tool☆21Updated last year
- Gene Expression Decomposition and Integration☆19Updated 6 months ago
- The `multiGSEA` R package was designed to run a robust GSEA-based pathway enrichment for multiple omics layers.☆20Updated 4 months ago
- epigenome analysis to rank transcription factors☆13Updated 5 years ago
- ☆23Updated 3 years ago
- ☆12Updated 4 years ago
- Workflow for ZINB-WaVE + DESeq2 intergration for single-cell RNA-seq☆31Updated 4 years ago
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆22Updated last year
- CellAnn☆12Updated last year
- Smooth-quantile Normalization Adaptation for Inference of co-expression Links☆16Updated 2 years ago
- Tools for assessing clustering robustness☆25Updated last week
- GEfetch2R - Access Single-cell/Bulk RNA-seq Data from Public Repositories and Benchmark the Subsequent Format Conversion Tools☆36Updated 4 months ago
- Perturb-seq analysis package☆14Updated last year
- ☆22Updated last year
- scover☆23Updated last year
- Improved Ribo-seq enables identification of cryptic translation events☆15Updated 7 years ago
- ☆25Updated 2 months ago
- Trans-association between HLA and TCR-CDR3☆18Updated 2 years ago
- Analyzing chromatin accessibility data in R☆18Updated 2 years ago
- ANS_signature_scoring: A gene expression signature scoring Python package.☆16Updated 4 months ago
- R package that allows easily performing a complete Hi-C data analysis through a Graphical User Interface☆16Updated 4 years ago
- ☆20Updated last year
- NeoFuse is a user-friendly pipeline for the prediction of fusion neoantigens from tumor RNA-seq data.☆19Updated 3 years ago
- 🧭 Navigate single-cell RNA-seq datasets in your web browser.☆29Updated 2 years ago
- Explore the cancer relevance of your gene list☆51Updated 5 months ago
- ☆14Updated 6 years ago
- Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.☆16Updated 3 years ago
- Learn tissue-specificity and tissue-sharing of genetic regulation across 49 tissues using constraint matrix factorization model☆22Updated 4 years ago
- This R package for performing module repertoire analyses and generating fingerprint representations☆16Updated 3 years ago
- cross-species analysis of cell identities, markers and regulations☆12Updated last month