xiaoyeye / CNNCLinks
covolutional neural network based coexpression analysis
☆79Updated 5 years ago
Alternatives and similar repositories for CNNC
Users that are interested in CNNC are comparing it to the libraries listed below
Sorting:
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆105Updated 2 years ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆103Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- ☆48Updated 6 years ago
- ☆102Updated 2 years ago
- A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.☆93Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 11 months ago
- Deep Embedding for Single-cell Clustering☆88Updated last year
- Accurate and robust imputation of scRNA-seq data☆97Updated 6 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated 9 months ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- ☆28Updated 5 years ago
- Deep Learning based cell composition analysis with Scaden.☆82Updated 11 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- scLearn:Learning for single cell assignment☆35Updated 9 months ago
- An actionable database of publicly available single-cell RNA-seq data☆41Updated 6 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆55Updated 3 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- ☆85Updated 2 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆27Updated 2 years ago
- ☆45Updated 2 months ago
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆141Updated 2 years ago
- A benchmark of batch-effect correction methods for single-cell RNA sequencing data☆79Updated 3 years ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆24Updated 3 years ago