jianhuupenn / ItClustLinks
Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
☆55Updated 3 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☆76Updated last year
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆37Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- ☆122Updated 3 years ago
- Probabilistic Alignment of Spatial Transcriptomics Experiments☆94Updated 7 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆105Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- ☆52Updated 4 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- 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
- ☆21Updated last year
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆33Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 7 months ago
- domain adaptation of spatial and single-cell transcriptome☆27Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- ☆45Updated 2 months ago
- ☆34Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated last year
- A benchmark of batch-effect correction methods for single-cell RNA sequencing data☆79Updated 3 years ago
- Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project☆84Updated last year
- ☆33Updated 5 months ago
- ☆30Updated 2 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- ☆60Updated 2 years ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆69Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- Code for the spatialLIBD R/Bioconductor package and shiny app☆96Updated last week
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆46Updated 4 years ago