mskspi / PathCNNLinks
Interpretable convolutional neural networks on multi-omics data predict long-term survival in glioblastoma
☆15Updated 2 years ago
Alternatives and similar repositories for PathCNN
Users that are interested in PathCNN are comparing it to the libraries listed below
Sorting:
- ☆44Updated last year
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆172Updated 4 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- Pathway-based sparse deep neural network for survival analysis☆41Updated 2 years ago
- Multi-task deep learning framework for multi-omics data analysis☆49Updated 3 years ago
- ☆35Updated 4 years ago
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆82Updated last year
- HiGCN: a hierarchical graph convolution network for representation learning of gene expression data☆14Updated 4 years ago
- Deep learning on histopathology images.☆137Updated 4 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- ☆16Updated 4 years ago
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆165Updated 4 years ago
- ☆21Updated last week
- ☆19Updated 2 years ago
- Deep-Learning framework for multi-omic and survival data integration☆86Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 5 years ago
- Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction☆89Updated 6 years ago
- First commit☆65Updated 3 years ago
- ☆51Updated 3 years ago
- ☆16Updated 6 months ago
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆14Updated 4 years ago
- Train a model to predict gene expression from histology slides.☆110Updated 3 years ago
- GNN-based cancer prognosis prediction using image-derived Cell-Graphs☆14Updated 4 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆160Updated 3 years ago
- ☆47Updated 8 years ago
- Her2 Breast Cancer Project☆90Updated 3 years ago
- Data and code to accompany our Nature publication☆48Updated 3 years ago
- Multimodal deep learning model for long-term cancer survival prediction☆88Updated 3 years ago
- ☆69Updated 2 months 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