#Biomedical-data-science

Showing 9 of 9 repositories tagged #biomedical-data-science, ranked by stars

AdaptInfer
AdaptInfer
CompBioDatasetsForMachineLearning

A Curated List of Computational Biology Datasets Suitable for Machine Learning

Score
100
★ 202 ⑂ 27 +1/day
beasygo1ng
beasygo1ng
OCT-Retinal-Layer-Segmenter

UNet based model that segment retina to 8 layers in OCT images

Score
0
★ 91 ⑂ 7
Jupyter Notebook
epigen
epigen
enrichment_analysis

A Snakemake workflow and MrBiomics module for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.

Score
100
★ 77 ⑂ 4
Python
epigen
epigen
dea_limma

A Snakemake workflow and MrBiomics module for performing and visualizing differential analyses of NGS data powered by the R package limma.

Score
83
★ 64 ⑂ 2
R
epigen
epigen
scrnaseq_processing_seurat

A Snakemake workflow and MrBiomics module for processing and visualizing (multimodal) sc/snRNA-seq data generated with 10X Genomics Kits or in the MTX matrix file format powered by the R package Seurat.

Score
67
★ 60 ⑂ 3
R
epigen
epigen
genome_tracks

A Snakemake workflow and MrBiomics module for easy visualization of genome browser tracks of aligned BAM files (e.g., RNA-seq, ATAC-seq, scRNA-seq, ...) powered by the wrapper gtracks for the package pyGenomeTracks, and IGV-reports.

Score
0
★ 57 ⑂ 1
Python
epigen
epigen
dea_seurat

A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.

Score
17
★ 56 ⑂ 11
R
epigen
epigen
mixscape_seurat

A Snakemake workflow and MrBiomics module for performing perturbation analyses of pooled (multimodal) CRISPR screens with sc/snRNA-seq read-out (scCRISPR-seq) powered by the R package Seurat's method Mixscape.

Score
33
★ 56 ⑂ 2
R
epigen
epigen
spilterlize_integrate

A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including confounding factor analysis and diagnostic visualizations.

Score
50
★ 54 ⑂ 3
R
Related Topics
#bioinformatics#snakemake#visualization#workflow#scrna-seq#atac-seq#rna-seq#chip-seq#pipeline#single-cell#snrna-seq#machine-learning

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