Seana4rd

LukePi

MiT4SL

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.

ELISL

ELISL: Early-Late Synthetic Lethality Prediction in Cancer by Tepeli YI, Seale C, Gonçalves JP (bioRxiv 2022, Bioinformatics 2023)

Pisces

[RECOMB 2023] Official implementation of "Pisces: A combo-wise contrastive learning approach to synergistic drug combination prediction".

Polyner

[NeurIPS 2023] Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

Seana4rd/Polyner

[NeurIPS 2023] Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction