bowang87 / SIMLR_PYLinks
Python Implementation of SIMLR for single-cell visualization and analysis
☆23Updated 2 years ago
Alternatives and similar repositories for SIMLR_PY
Users that are interested in SIMLR_PY are comparing it to the libraries listed below
Sorting:
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 5 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- ☆49Updated 5 years ago
- VEGA: VAE Enhanced by Gene Annotations☆16Updated 3 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆30Updated 5 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated last year
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 11 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- covolutional neural network based coexpression analysis☆77Updated 4 years ago
- ☆19Updated 4 years ago
- ☆29Updated 3 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 4 years ago
- scLearn:Learning for single cell assignment☆35Updated 5 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- ☆55Updated 5 years ago
- ☆16Updated 4 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- ☆21Updated 11 months ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆24Updated 6 years ago
- ☆19Updated 4 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data☆15Updated 4 years ago
- Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper☆13Updated 2 years ago