shwhalen / ml-pitfalls
Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"
☆45Updated last year
Alternatives and similar repositories for ml-pitfalls:
Users that are interested in ml-pitfalls are comparing it to the libraries listed below
- epigenome analysis to rank transcription factors☆13Updated 5 years ago
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- Transcription Factor Enrichment Analysis☆34Updated this week
- Dynamic models for single-cell RNA-seq time series.☆40Updated 6 years ago
- ☆42Updated 6 months ago
- Modelling DNA methylation profiles☆23Updated 4 years ago
- Fast motif matching in R☆47Updated last year
- Tied Diffusion for Subnetwork Discovery (TieDIE)☆37Updated 3 years ago
- Software for comparing contact maps from HiC, CaptureC and other 3D genome data.☆26Updated 6 years ago
- Single-cell/nuclei RNA-seq analysis tools in R for a complete workflow.☆56Updated last year
- DRUG (Digital RNA with pertUrbation of Genes)-seq data analysis pipeline☆26Updated last month
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- Explore and download data from the recount3 project☆34Updated 4 months ago
- A network-based approach for exon set enrichment☆14Updated last month
- Software to compute reproducibility and quality scores for Hi-C data☆47Updated 6 years ago
- Data and analysis for the Splatter paper☆29Updated 7 years ago
- JARVIS: a comprehensive deep learning framework to prioritise non-coding variants in whole genomes☆23Updated 3 months ago
- An R/Bioconductor package that implements a single-sample molecular phenotyping approach