openproblems-bio / neurips2021-notebooks
☆28Updated 3 years ago
Alternatives and similar repositories for neurips2021-notebooks:
Users that are interested in neurips2021-notebooks are comparing it to the libraries listed below
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆39Updated last year
- ☆52Updated 10 months ago
- Deep Generative Modeling of RNA Velocity☆35Updated 3 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆57Updated 2 years ago
- ☆41Updated last year
- ☆45Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- ☆29Updated this week
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆30Updated 2 years ago
- ☆98Updated last year
- SIMBA: SIngle-cell eMBedding Along with features☆58Updated 4 months ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆30Updated last year
- spatial transcriptome, single cell☆67Updated last year
- ☆17Updated 3 years ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- Quantifying experimental perturbations at single cell resolution☆106Updated 4 months ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆73Updated last month
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- A simulator for single-cell expression data guided by gene regulatory networks☆58Updated 9 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…☆109Updated last year
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- ACTIONet single-cell analysis framework☆38Updated 5 months ago
- Regulatory networks with Direct Information in python☆40Updated last year
- VEGA: VAE Enhanced by Gene Annotations☆15Updated 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
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆59Updated 8 months ago