🩺 MeSH Enrichment and Semantic analyses

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data

Network-based module discovery algorithm with high rate of empirically-validated term calls

The implementation of HiSFC is freely available to non-commercial users.

Precision Medicine Knowledge Graph (PrimeKG)

iBKH: The integrative Biomedical Knowledge Hub

Hetionet: an integrative network of disease

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Pathway-Level Information Extractor (PLIER): a generative model for gene expression data

Learn tissue-specificity and tissue-sharing of genetic regulation across 49 tissues using constraint matrix factorization model

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

Connect the dots in networks.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A Python implementation of global optimization with gaussian processes.

Drug repositioning with adaptive graph convolutional networks

Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants

semi non-negative matrix factorization project

Leave One Feature Out Importance

A database of paths that represent the mechanism of action from a drug to a disease in an indication.

(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal transduction

Simplify functional enrichment results

Profile RNA-seq data using published TB gene signatures

A unified multi-task learning framework for prediction of individualized tissue gene expression profiles.

Supervised Negative Binomial NMF for Mutational Signature Discovery