jianhuupenn / ItClustLinks
Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
☆54Updated last month
Alternatives and similar repositories for ItClust
Users that are interested in ItClust are comparing it to the libraries listed below
Sorting:
- overview of spatial datasets☆75Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆36Updated last year
- 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
- Probabilistic Alignment of Spatial Transcriptomics Experiments☆88Updated 5 months ago
- ☆45Updated last week
- ☆52Updated 4 years ago
- ☆21Updated last year
- ☆121Updated 3 years ago
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- domain adaptation of spatial and single-cell transcriptome☆27Updated 10 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated 2 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago
- ☆32Updated 3 months ago
- Deep Embedding for Single-cell Clustering☆87Updated last year
- ☆29Updated 2 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- ☆30Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆40Updated last year
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- scLearn：Learning for single cell assignment☆35Updated 7 months ago
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆31Updated 2 years ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆44Updated 3 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- MARIO: single-cell proteomic data matching and integration using both shared and distinct features☆22Updated last year
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- ☆34Updated 2 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆57Updated last year