poseidonchan / TAPELinks
Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
☆57Updated last year
Alternatives and similar repositories for TAPE
Users that are interested in TAPE are comparing it to the libraries listed below
Sorting:
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆67Updated last year
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 11 months ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 weeks ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆58Updated last year
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆54Updated 5 months ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆62Updated last year
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆36Updated 11 months ago
- Reproducing the experiments of the DestVI paper☆18Updated 3 years ago
- ☆31Updated 2 months ago
- ☆48Updated last month
- ☆55Updated last year
- Spatial direct messaging detected by bivariate Moran☆27Updated last month
- domain adaptation of spatial and single-cell transcriptome☆27Updated 9 months ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆94Updated 3 months ago
- ☆55Updated 2 years ago
- ☆56Updated 2 weeks ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆97Updated 3 months ago
- StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information inter…☆35Updated last month
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆35Updated 3 years ago
- ☆59Updated 9 months ago
- Probabilistic Alignment of Spatial Transcriptomics Experiments v.2☆34Updated 3 months ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated 2 weeks ago
- SPROD: Spatial expression profiling de-noising☆37Updated 2 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆15Updated last year
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆43Updated 3 years ago
- ☆35Updated last month
- Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology☆119Updated 3 weeks ago