Discover JieZheng-ShanghaiTech/MiT4SL Open Source project

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Language
Python
License
MIT License
Created 8 months ago
Updated 8 months ago

JieZheng-ShanghaiTech

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MiT4SL is the first machine learning model for cross cell line prediction of synthetic lethal (SL) gene pairs. It uses a novel method of triplet representation learning to encode cell line information by integrating multi-omics data of gene expression, PPI network and protein sequences, etc.

KG4SL

Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.

Python

PiLSL

PiLSL is a pairwise interaction learning-based graph neural network (GNN) model for prediction of synthetic lethality (SL) as anti-cancer drug targets. It learns the representation of pairwise interaction between two genes from a knowledge graph (KG).

Python

HiCoEx

A supervised learning model based on Graph Neural Network to predict gene co-expression from chromatin contacts

Jupyter Notebook

SL_benchmark

Benchmarking study of machine learning methods for prediction of synthetic lethality

Jupyter Notebook