bio-learn / biolearn
Machine learning tools for biomarker analysis
☆56Updated this week
Alternatives and similar repositories for biolearn:
Users that are interested in biolearn are comparing it to the libraries listed below
- Tabula Muris Senis☆100Updated last year
- What you need to process the Quarterly DepMap-Omics releases from Terra☆114Updated this week
- Utilizing single-cell omics from patients tumor to predict response and resistance.☆63Updated last year
- code to run sei and obtain sei and sequence class predictions☆99Updated 2 years ago
- A continually expanding collection of cancer genomics notes and data☆102Updated 5 months ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆56Updated 3 weeks ago
- Machine Learning in Medical Bioinformatics☆24Updated last month
- Immunology-related bioinformatics data and tools☆72Updated 11 months ago
- ☆56Updated 4 months ago
- Python package to perform enrichment analysis from omics data.☆184Updated last month
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 2 months ago
- Multi-modal single cell analysis pipelines☆57Updated this week
- A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.☆87Updated 5 years ago
- ☆30Updated 2 years ago
- Integrate Any Omics: Towards genome-wide data integration for patient stratification☆44Updated last week
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆129Updated 2 years ago
- ☆41Updated last year
- CELLECT (CELL-type Expression-specific integration for Complex Traits)☆76Updated 7 months ago
- LLM agents for working with the SRA and associated bioinformatics databases.☆48Updated last week
- Create cell sentences from sequencing data☆22Updated 7 months ago
- Computational Optimization of DNA Activity (CODA)☆56Updated 2 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆116Updated last month
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆118Updated 2 years ago
- Knowledge-primed neural networks☆35Updated 2 years ago
- Predict epigenetic age from DNA methylation data☆50Updated 8 months ago
- ☆118Updated 8 months ago
- ☆90Updated 4 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- CellWhisperer bridges the gap between transcriptomics data and natural language, enabling intuitive interaction with scRNA-seq datasets☆52Updated 5 months ago
- R client for the OmniPath web service☆130Updated last month