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A Curated List of Computational Biology Datasets Suitable for Machine Learning
Created 2016-10-24
47 commits to master branch, last one about a year ago
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Created 2021-05-30
152 commits to main branch, last one 2 years ago
Ultimate ATAC-seq Data Processing, Quantification and Annotation Snakemake Workflow and MrBiomics Module.
Created 2021-03-22
173 commits to main branch, last one about a month ago
A software package for statistically significant shapelet mining
Created 2018-03-05
325 commits to master branch, last one 2 years ago
A Snakemake workflow and MrBiomics module for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.
Created 2021-06-16
83 commits to main branch, last one 4 months ago
3
32
agpl-3.0
3
A Python library for biomedical statistical shape and appearance modelling.
Created 2022-12-09
105 commits to main branch, last one 10 months ago