jianhuupenn / ItClustLinks
Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
☆54Updated 2 months ago
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
- 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
- ☆45Updated last month
- Probabilistic Alignment of Spatial Transcriptomics Experiments☆90Updated 5 months ago
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆44Updated 4 years ago
- Deep Embedding for Single-cell Clustering☆87Updated last year
- ☆52Updated 4 years ago
- scLearn:Learning for single cell assignment☆35Updated 8 months ago
- ☆100Updated 2 years ago
- ☆122Updated 3 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☆103Updated 2 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆33Updated 2 years ago
- ☆60Updated 2 years ago
- MARIO: single-cell proteomic data matching and integration using both shared and distinct features☆22Updated 2 years ago
- Code for the spatialLIBD R/Bioconductor package and shiny app☆96Updated 3 months ago
- Deep Learning based cell composition analysis with Scaden.☆81Updated 9 months ago
- domain adaptation of spatial and single-cell transcriptome☆27Updated 11 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆69Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- ☆21Updated last year
- ☆16Updated 3 years ago
- CeLEry: cell location recovery in single-cell RNA sequencing☆35Updated 6 months ago
- ☆56Updated last year
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- ☆30Updated 2 years ago