shahcompbio / scvisLinks
Python package for dimension reduction of high-dimensional biological data.
☆16Updated 7 years ago
Alternatives and similar repositories for scvis
Users that are interested in scvis are comparing it to the libraries listed below
Sorting:
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆76Updated last year
- ☆23Updated 3 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Deep soft K-means clustering with self-training for single cell RNA sequence data☆25Updated 5 years ago
- Single-Cell Multimodal Prediction via Transformer☆28Updated last year
- a unified single-cell data integration framework by optimal transport☆35Updated 11 months ago
- Deep joint-leaning single-cell multi-omics model☆15Updated 3 years ago
- single-cell graph attentional clustering☆13Updated 3 years ago
- Archetypal Analysis network (AAnet)☆37Updated 7 months ago
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆33Updated last year
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆15Updated 4 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated last year
- ☆18Updated 4 years ago
- single-cell graph autoencoder☆24Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆150Updated last year
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆22Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- ☆18Updated 3 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 11 months ago
- ☆14Updated 4 years ago
- Hypergraph Factorisation☆26Updated 9 months ago
- conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics☆28Updated last year
- ☆14Updated 2 months ago
- Paper collection for single cell foundation models☆34Updated last year
- ☆18Updated last year
- ☆78Updated 3 years ago