fbao-fudan / DAK
Explaining the genetic causality for complex diseases by deep association kernel learning
☆15Updated 3 years ago
Alternatives and similar repositories for DAK:
Users that are interested in DAK are comparing it to the libraries listed below
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 5 months ago
- Knowledge-primed neural networks☆35Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆50Updated 10 months ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- ☆20Updated 2 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆14Updated 5 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 4 years ago
- A deep generative neural network based approach to impute drug response☆19Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆25Updated 8 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆30Updated last month
- ☆73Updated last year
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 4 years ago
- A convolutional neural network to predict PPI interactions☆41Updated 6 years ago
- A repository for neural representational learning of RNA secondary structures☆31Updated 5 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆53Updated last year
- ☆34Updated 6 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆65Updated 2 years ago
- ☆23Updated 2 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Deep Learning Method to Identify Cancer Associated TCRs☆46Updated 2 years ago
- ☆18Updated last year
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆24Updated last year
- Code for the analyses in the human reference interactome paper.☆26Updated 2 years ago
- code repo for Set2Gaussian☆15Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- ☆31Updated last year
- L1000 peak deconvolution based on Bayesian analysis☆25Updated 3 years ago
- [Nat. Commun.] Code for paper 'Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely …☆28Updated 3 years ago