mandanasmi / TCGA_BenchmarkLinks
TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome
☆14Updated 4 years ago
Alternatives and similar repositories for TCGA_Benchmark
Users that are interested in TCGA_Benchmark are comparing it to the libraries listed below
Sorting:
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Drug Response Variational Autoencoder☆34Updated 6 years ago
- Few shot learning for cancer☆36Updated 4 years ago
- ☆16Updated 4 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆95Updated 2 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆34Updated 4 years ago
- Code and dataset for SNP2Vec paper☆21Updated 2 years ago
- iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, …☆85Updated 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…☆100Updated 3 years ago
- ☆71Updated 2 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆80Updated 4 years ago
- ☆80Updated 3 years ago
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆163Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated last year
- Deep Learning-based Clustering Approaches for Bioinformatics☆141Updated 4 years ago
- ☆19Updated 2 years ago
- ☆35Updated 2 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- A repository for neural representational learning of RNA secondary structures☆32Updated 5 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
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆18Updated 5 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆20Updated last year
- ☆36Updated 2 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆51Updated 4 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆125Updated 3 years ago
- A deep-learning framework for multi-omics integration☆31Updated 2 years ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 3 years ago