mskspi / PathCNN
Interpretable convolutional neural networks on multi-omics data predict long-term survival in glioblastoma
☆14Updated last year
Alternatives and similar repositories for PathCNN:
Users that are interested in PathCNN are comparing it to the libraries listed below
- Multi-task deep learning framework for multi-omics data analysis☆40Updated 2 years ago
- ☆42Updated last month
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆70Updated 2 months ago
- The first GANs-based omics-to-omics translation framework☆11Updated last year
- Pathway-based sparse deep neural network for survival analysis☆36Updated last year
- 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
- ☆15Updated 3 years ago
- ☆11Updated 5 years ago
- HiGCN: a hierarchical graph convolution network for representation learning of gene expression data☆11Updated 3 years ago
- Deep-Learning framework for multi-omic and survival data integration☆79Updated last year
- ☆32Updated 3 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 2 years ago
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆149Updated 3 years ago
- Deep learning on histopathology images.☆108Updated 3 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆22Updated 3 years ago
- A deep-learning framework for multi-omics integration☆24Updated last year
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆148Updated 3 years ago
- ☆64Updated last year
- ☆50Updated 2 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆38Updated 8 months ago
- Sub-cellular spatial transcriptomics Cell Segmentation☆58Updated last year
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆70Updated 2 months ago
- ☆18Updated 3 years ago
- PyTorch implementation of HisToGene☆31Updated 3 years ago
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆69Updated 2 months ago
- Deep Learning Based Tumor Type Classification Using Gene Expression Data☆22Updated 4 months ago