edianfranklin / autoencoder_for_cancer_subtypeLinks
☆11Updated 4 years ago
Alternatives and similar repositories for autoencoder_for_cancer_subtype
Users that are interested in autoencoder_for_cancer_subtype are comparing it to the libraries listed below
Sorting:
- Multi-omics integration method using AE and GCN☆35Updated 2 years ago
- ☆66Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆102Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆62Updated 2 years ago
- ☆107Updated 3 weeks ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆132Updated 2 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 11 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated last year
- ☆43Updated last year
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆78Updated 2 weeks ago
- ☆59Updated last year
- covolutional neural network based coexpression analysis☆78Updated 5 years ago
- Models and datasets for perturbational single-cell omics☆152Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell …☆121Updated 2 years ago
- ☆45Updated 2 years ago
- ☆15Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 4 months ago
- ☆31Updated 2 years ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆142Updated last year
- ☆28Updated 4 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated last year
- ☆55Updated 2 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆81Updated 3 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆33Updated 2 years ago
- ☆121Updated 3 years ago
- Deep-Learning framework for multi-omic and survival data integration☆82Updated last year