A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
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A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Reference mapping for single-cell genomics
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Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
scPerturb: A resource and a python/R tool for single-cell perturbation data
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer