haiyang1986 / Subtype-GANLinks
a deep learning approach for integrative cancer subtyping of multi-omics data
☆38Updated last year
Alternatives and similar repositories for Subtype-GAN
Users that are interested in Subtype-GAN are comparing it to the libraries listed below
Sorting:
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆55Updated 4 months ago
- ☆55Updated 3 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- ☆55Updated 2 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆31Updated 5 years ago
- ☆26Updated 5 years ago
- ☆44Updated 10 months ago
- Deep-Learning framework for multi-omic and survival data integration☆85Updated last year
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆14Updated 4 years ago
- ☆66Updated last year
- Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project☆85Updated last year
- scDCC: Single Cell Deep Constrained Clustering☆41Updated last year
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆38Updated last year
- ☆34Updated 4 years ago
- deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma…☆52Updated 5 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆55Updated last year
- scDeepCluster for Single Cell RNA-seq data☆103Updated last year
- ☆33Updated 6 months ago
- The Single-Cell Pathology Landscape of Breast Cancer☆27Updated 5 years ago
- ☆52Updated 4 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 6 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- Deep Embedding for Single-cell Clustering☆88Updated last year
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- Identify spatial domain☆85Updated 5 months ago
- domain adaptation of spatial and single-cell transcriptome☆27Updated last year
- Nature machine intelligence-Stable Cox Regression for Survival Analysis under Distribution Shifts☆21Updated 6 months ago
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- ☆22Updated 3 years ago