hosseinshn / Velodrome
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
☆15Updated 2 years ago
Related projects: ⓘ
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆96Updated last month
- Models and datasets for perturbational single-cell omics☆141Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆28Updated last year
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆112Updated 6 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆82Updated last month
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆45Updated 3 weeks ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated last year
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆63Updated this week
- ☆44Updated 7 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆101Updated 3 weeks ago
- ☆55Updated last year
- ☆52Updated last year
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆61Updated 5 months ago
- ☆96Updated last year
- UCE is a zero-shot foundation model for single-cell gene expression data☆135Updated last month
- Contextualizing protein representations using deep learning on protein networks and single-cell data☆67Updated last week
- Create cell sentences from sequencing data☆21Updated last month
- ☆17Updated 3 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆51Updated 3 years ago
- Few shot learning for cancer☆34Updated 2 years ago
- Code for evaluating single cell foundation models scBERT and scGPT☆30Updated 3 weeks ago
- Discovering novel cell types across heterogenous single-cell experiments☆120Updated last year
- ☆129Updated last month
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 3 years ago
- Multi-omics integration method using AE and GCN☆28Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆66Updated 7 months ago
- ☆25Updated 7 months ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆31Updated last year