shahcompbio / scvis
Python package for dimension reduction of high-dimensional biological data.
☆16Updated 6 years ago
Alternatives and similar repositories for scvis:
Users that are interested in scvis are comparing it to the libraries listed below
- scDeepCluster for Single Cell RNA-seq data☆99Updated 7 months ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆68Updated last year
- Hypergraph Factorisation☆22Updated 2 months ago
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆31Updated 7 months ago
- single-cell graph autoencoder☆21Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 8 months ago
- a unified single-cell data integration framework by optimal transport☆34Updated 4 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Deep joint-leaning single-cell multi-omics model☆16Updated 2 years ago
- Single-Cell Multimodal Prediction via Transformer☆25Updated last year
- ☆21Updated 3 years ago
- ☆17Updated 3 years ago
- Deep soft K-means clustering with self-training for single cell RNA sequence data☆24Updated 4 years ago
- A simulator for single-cell expression data guided by gene regulatory networks☆58Updated 9 months ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated 7 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆122Updated 2 years ago
- ☆28Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Models and datasets for perturbational single-cell omics☆148Updated 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 4 years ago
- ☆58Updated last year
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 4 months ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- ☆16Updated 4 years ago
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆21Updated 2 years ago
- Git Repo for simulating Boolean Models☆33Updated 8 months ago
- ☆26Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆70Updated last year
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆16Updated 3 years ago