ChihyunPark / DNN_for_ADpredictionLinks
☆20Updated 4 years ago
Alternatives and similar repositories for DNN_for_ADprediction
Users that are interested in DNN_for_ADprediction are comparing it to the libraries listed below
Sorting:
- Python Implementation of SIMLR for single-cell visualization and analysis☆24Updated 3 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆18Updated 5 years ago
- ☆66Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 4 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 4 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 7 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Deep-Learning framework for multi-omic and survival data integration☆85Updated 2 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 6 years ago
- Deep Learning-based Clustering Approaches for Bioinformatics☆141Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 4 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- Deep Embedding for Single-cell Clustering☆89Updated last year
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- scDeepCluster for Single Cell RNA-seq data☆105Updated last year
- Building classifiers using cancer transcriptomes across 33 different cancer-types☆122Updated 6 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- ☆19Updated 4 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆25Updated 2 years ago
- Deep learning for single-cell transcript counts☆88Updated 10 months ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆90Updated last year
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 7 months ago
- ☆102Updated last year
- Multi-omics integration method using AE and GCN☆39Updated 2 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 6 years ago
- ☆48Updated 6 years ago