idekerlab / TCRPLinks
Few shot learning for cancer
☆36Updated 4 years ago
Alternatives and similar repositories for TCRP
Users that are interested in TCRP are comparing it to the libraries listed below
Sorting:
- TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome☆14Updated 4 years ago
- ☆16Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Drug Response Variational Autoencoder☆34Updated 6 years ago
- Paper collection for single cell foundation models☆35Updated last year
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆164Updated 4 years ago
- Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction a…☆17Updated 4 years ago
- ☆35Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆131Updated 10 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- ☆19Updated 2 years ago
- Gene expression time-series extrapolation for heterogeneous data☆19Updated 2 years ago
- ☆76Updated last year
- a unified single-cell data integration framework by optimal transport☆34Updated last year
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- ☆44Updated last year
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆125Updated 3 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆160Updated 3 years ago
- A deep-learning framework for multi-omics integration☆31Updated 2 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated last year
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆77Updated last year
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆96Updated 2 years ago
- Hypergraph Factorisation☆26Updated last year
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆35Updated 3 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆56Updated last year
- ☆35Updated 2 months ago