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-binding_site_residue_exe

alphafold

Open source code for AlphaFold.

atbr

autoplay

Jupyter lab extension to run notebooks automatically

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bioblend

A Python library for interacting with Galaxy and CloudMan APIs

bioconda-recipes

Conda recipes for the bioconda channel.

byte-of-python

Beginners book on Python - start here if you don't know programming

cheminteract

Galaxy Interactive Tool

container_camp_workshop_2019

CyVerse Container Camp 2019

databaseapp

DataBaseApp

dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark

deepexpression

django-dashboard-app

dna-nn-theory

Here, we investigate the robustness, generalization potential and prediction accuracy of widely used convolutional neural network and natural language processing models with a variety of heterogeneous genomic datasets.

docker_ewas

🐳📊📚 Docker Images for EWAS Data Analysis

docker_pdaug

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

envir

ewas_galaxy

🔬📚 Infinium Human Methylation BeadChip: a pipeline for population epigenetics integrated into Galaxy

examples

Example Data Packages for use in tutorials

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

final_hydro

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

galaxy

Data intensive science for everyone.

genepattern-notebook

Platform for integrating genomic analysis with Jupyter Notebooks.

gin

glue

Graph-linked unified embedding for single-cell multi-omics data integration

gnnpapers

Must-read papers on graph neural networks (GNN)