There are 36 repositories under biomedical-data-science topic.
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
A Curated List of Computational Biology Datasets Suitable for Machine Learning
UNet based model that segment retina to 8 layers in OCT images
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.
A software package for statistically significant shapelet mining
Ultimate ATAC-seq Data Processing, Quantification and Annotation Snakemake Workflow and MrBiomics Module.
Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches
Knee Osteoarthritis Analysis with X-ray Images using CNN
Turning Ontologies Plus Annotation Properties into Vectors
A Snakemake workflow and MrBiomics module for performing genomic region set and gene set enrichment analyses using LOLA, GREAT, GSEApy, pycisTarget and RcisTarget.
A Python library for biomedical statistical shape and appearance modelling.
Providing interactions between drugs and genes sourced from a variety of publications and knowledgebases
A Snakemake workflow and MrBiomics module for performing and visualizing differential (expression) analyses (DEA) on NGS data powered by the R package limma.
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.
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.
Unsupervised domain adaptation method for relation extraction
A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.
R package for delineating temporal dataset shifts in Eletronic Health Records
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.
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.
:paperclip: About MIDA Project
Toolkit for analyzing physiologic data collected via Biopac AcqKnowledge software.
Deep learning model of depression detection from activity sensor data
Analysis code for knowledge discovery project
It is a Bio-Medical Image based project, where we are testing the diseases through tongue image scanning.
FAIR Dataset Maturity model
A curated list of Biomedical Knowledge Graph related learning materials, databases, tools and other resources
Using ML to predict the diagnosis, management, and severity of pediatric appendicitis
Biomedical Feature Selection for Machine Learning Models
A set of Python codes for the classification of biomedical relations based on the MeSH keywords of PubMed scholarly publications
A text summarization framework to identify major opinions from healthcare text
R code for the discovery of COVID-19 subgroups by symptoms and comorbidities.
An introduction to computational thinking and performing biomedical research with R for high school students
Prognostic ML-models and key-feature extraction for analysis of cardiovascular complications