jianhuupenn / ItClustLinks
Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
☆55Updated 5 months ago
Alternatives and similar repositories for ItClust
Users that are interested in ItClust are comparing it to the libraries listed below
Sorting:
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆38Updated last year
- overview of spatial datasets☆76Updated 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
- ☆125Updated 3 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Deep Embedding for Single-cell Clustering☆88Updated last year
- Probabilistic Alignment of Spatial Transcriptomics Experiments☆96Updated 8 months ago
- scDeepCluster for Single Cell RNA-seq data☆104Updated last year
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆106Updated 2 years ago
- Code for the spatialLIBD R/Bioconductor package and shiny app☆102Updated last week
- ☆52Updated 4 years ago
- ☆30Updated 2 years ago
- Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project☆86Updated last year
- ☆45Updated 3 months ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆46Updated 4 years ago
- ☆21Updated last year
- ☆101Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- ☆33Updated 7 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆64Updated 2 years ago
- ☆30Updated 2 years ago
- ☆56Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆44Updated 2 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Deep Learning based cell composition analysis with Scaden.☆83Updated last year
- A benchmark of batch-effect correction methods for single-cell RNA sequencing data☆79Updated 3 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆68Updated 2 years ago
- scLearn:Learning for single cell assignment☆35Updated 11 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆73Updated last year