rvinas / HYFALinks
Hypergraph Factorisation
☆24Updated 8 months ago
Alternatives and similar repositories for HYFA
Users that are interested in HYFA are comparing it to the libraries listed below
Sorting:
- 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.☆50Updated 3 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 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
- ☆63Updated 2 years ago
- ☆30Updated 3 years ago
- ☆84Updated 2 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Paper collection for single cell foundation models☆31Updated last year
- ☆34Updated 3 weeks ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 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
- ☆15Updated 3 years ago
- single-cell graph autoencoder☆24Updated 3 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆74Updated last year
- Functional and Learnable Cell dynamicS☆17Updated 2 months ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated last month
- ☆15Updated 3 weeks ago
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 5 months ago
- ☆55Updated last year
- A simulator for single-cell expression data guided by gene regulatory networks☆63Updated last year
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆29Updated 11 months ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated 2 weeks ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆107Updated 11 months ago
- Deep Generative Modeling of RNA Velocity☆35Updated 3 months ago
- Git Repo for simulating Boolean Models☆35Updated last year
- ☆39Updated 2 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 9 months ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago