deepsystemspharmacology Goto Github PK

gcn-drug-repurposing

genedisco-starter

The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.

graphene

Pre-trained graph neural network and downstream tasks

graphinvent

Graph neural networks for molecular design.

graphml-tutorials

Tutorials for Machine Learning on Graphs

graphvci

healthcare-ml-web-application

Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life.

hebo

Bayesian optimisation library developped by Huawei Noah's Ark Lab

hgraph2graph

Hierarchical Generation of Molecular Graphs using Structural Motifs

hoobari

Bayesian-based fetal genotyping using maternal cell-free DNA and parental sequencing data.

hst953_iomed

HST.953 Workshop: Using MIMIC/eICU I/O and Medication Data

igtd

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

imdrug

immunedeconv

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter)

immuneml

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

in-depth-ngs-data-analysis-course

Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.

kaggle-pneumothorax

The 4th Place Solution of SIIM-ACR Pneumothorax Segmentation

kaggle_brain-tumor-3d

Predict the status of a genetic biomarker important for brain cancer treatment

kg4sl

leveraging-vae-to-generate-molecules

VAE for generating valid SMILES molecules

lincs-extraction

Command line extraction of the NIH LINCS L1000 data and other functionalities

machine_learning_for_persistence

manuscript_insilico_antibody_generation

maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

meningitis-integration

Discovering biomarkers for meningitis by multivariate integration of multi-omics and clinical data

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

ml-toolkit

A collection of command-line wrappers of Python libraries for machine learning tasks

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

mlpipeline

Standard pipelines for machine learning tabular data

moa-profiler