Repository Index

WebGL accelerated JavaScript molecular graphics library

• molecular-graphics
• molecular-modeling
• computational-biology
• computational-chemistry

Foundation Models for Genomics & Transcriptomics

• genomics
• deep-learning
• transformer
• dna

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.

BulkFormer: A large-scale foundation model for human bulk transcriptomes

Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network