kasparmartens / BasisVAELinks
PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
☆42Updated 5 years ago
Alternatives and similar repositories for BasisVAE
Users that are interested in BasisVAE are comparing it to the libraries listed below
Sorting:
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- ☆17Updated 4 years ago
- Archetypal Analysis network (AAnet)☆37Updated 6 months ago
- Conditional out-of-distribution prediction☆63Updated last year
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆75Updated last year
- SemI-SUpervised generative Autoencoder models for single cell data☆19Updated 4 years ago
- ☆20Updated 4 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆41Updated 2 years ago
- Maximum mean discrepancy comparisons for single cell profiling experiments☆18Updated 3 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- Fast Inference of Networks from Directed Regulations☆22Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 3 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 3 years ago
- ☆16Updated 2 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆23Updated 4 years ago
- Wasserstein Generative Adversarial Network for analysing scRNAseq data☆34Updated 4 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- Latent spaces for single cells☆21Updated last year
- Imputation of single cell RNA-sequencing data with autoencoder☆16Updated 4 years ago
- ☆63Updated 2 years ago
- Adversarial generation of gene expression data using Generative Adversarial Networks☆27Updated 3 years ago
- ☆14Updated 2 months ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- ☆30Updated 3 years ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆28Updated 3 years ago
- ☆67Updated last year