rezacsedu / OncoNetExplainer
OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
☆8Updated last year
Related projects ⓘ
Alternatives and complementary repositories for OncoNetExplainer
- Pathway-based sparse deep neural network for survival analysis☆36Updated last year
- This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".☆45Updated 5 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.☆18Updated 6 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆69Updated 3 weeks ago
- ☆11Updated 10 months ago
- ☆19Updated 4 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆19Updated 2 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
- ☆17Updated 3 years ago
- Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer☆18Updated 4 years ago
- HiGCN: a hierarchical graph convolution network for representation learning of gene expression data☆11Updated 3 years ago
- Deep Learning Based Tumor Type Classification Using Gene Expression Data☆22Updated 2 months ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction☆81Updated 5 years ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆46Updated last year
- ☆47Updated 7 years ago
- Deep learning methods for feature selection in gene expression autism data.☆34Updated 2 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆37Updated 6 months ago
- ☆29Updated 3 years ago
- 🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for…☆13Updated 2 years ago
- ☆21Updated 3 years ago
- Scripts for data processing☆41Updated 5 months ago
- ☆41Updated 2 years ago
- Multi-task deep learning framework for multi-omics data analysis☆40Updated 2 years ago
- Data and code to accompany our Nature publication☆43Updated 2 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆31Updated 3 years ago