openproblems-bio / neurips2021_multimodal_viashLinks
☆19Updated 3 years ago
Alternatives and similar repositories for neurips2021_multimodal_viash
Users that are interested in neurips2021_multimodal_viash are comparing it to the libraries listed below
Sorting:
- ☆80Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 4 years ago
- ☆30Updated 4 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
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 4 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆154Updated last year
- ☆70Updated 3 years ago
- ☆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
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆52Updated 5 months ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 4 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆20Updated last year
- a unified single-cell data integration framework by optimal transport☆34Updated last year
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆126Updated 3 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- Conditional out-of-distribution prediction☆62Updated last year
- ☆69Updated 6 months ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆25Updated 2 years ago
- A deep-learning framework for multi-omics integration☆31Updated 2 years ago
- Archetypal Analysis network (AAnet)☆39Updated 11 months ago
- VEGA: VAE Enhanced by Gene Annotations☆17Updated 3 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆18Updated 5 years ago
- Deep learning for single-cell transcript counts☆88Updated 10 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆153Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆141Updated 11 months ago
- ☆64Updated 2 years ago
- ☆102Updated last year
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated 7 months ago