BorgwardtLab / Kernelized-Rank-Learning
Kernelized rank learning for personalized drug recommendation
☆16Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Kernelized-Rank-Learning
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆26Updated 4 months ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆34Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆53Updated 4 years ago
- ☆52Updated 5 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 5 years ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Updated 5 years ago
- CapsNet for Protein Post-translational Modification site prediction.☆25Updated 4 years ago
- Drug Response Variational Autoencoder☆28Updated 5 years ago
- Explaining the genetic causality for complex diseases by deep association kernel learning☆15Updated 3 years ago
- Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nat…☆95Updated 2 years ago
- Protein function prediction using a variational autoencoder☆92Updated 6 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- A convolutional neural network to predict PPI interactions☆41Updated 6 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆24Updated 3 years ago
- ☆29Updated last year
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆13Updated 5 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆46Updated 5 months ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆22Updated 2 years ago
- MVP (Qi et al 2021) source code☆15Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 3 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- ☆62Updated last year
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆108Updated 2 years ago
- A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials☆17Updated 5 years ago