kimmo1019 / scDECLinks
Simultaneous deep generative modeling and clustering of single cell genomic data
☆32Updated 2 years ago
Alternatives and similar repositories for scDEC
Users that are interested in scDEC are comparing it to the libraries listed below
Sorting:
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated last year
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- ☆45Updated last week
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated last month
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆57Updated 5 years ago
- ☆55Updated last year
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- scLearn:Learning for single cell assignment☆35Updated 7 months ago
- ☆50Updated 5 months ago
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆40Updated 10 months ago
- Low-dimensional Projection of Single Cell Velocity☆28Updated 2 years ago
- ☆32Updated 3 months ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆63Updated 3 weeks ago
- CeLEry: cell location recovery in single-cell RNA sequencing☆35Updated 5 months ago
- Reproducing result from the paper☆34Updated 4 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- ☆27Updated 10 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago
- ☆11Updated 2 years ago
- ☆26Updated 3 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆75Updated 7 months ago
- cTPnet Package☆25Updated 3 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆31Updated 2 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆31Updated 5 years ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆42Updated 10 months ago
- ACTIONet single-cell analysis framework☆42Updated 10 months ago
- scOpen: single-cell open chromatin analysis via NMF modelling☆26Updated 2 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)☆30Updated 2 months ago