NikolayOskolkov / DeepLearningSingleCellBiologyLinks
Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
☆19Updated 6 years ago
Alternatives and similar repositories for DeepLearningSingleCellBiology
Users that are interested in DeepLearningSingleCellBiology are comparing it to the libraries listed below
Sorting:
- Data and analysis for the Splatter paper☆29Updated 7 years ago
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- Comparison of single cell normalization strategies☆10Updated 3 years ago
- ☆12Updated last year
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆39Updated 8 months ago
- ☆37Updated last week
- MultiMAP for integration of single cell multi-omics☆56Updated last year
- Bootstrap imputation for scRNAseq data☆12Updated 4 years ago
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆59Updated last year
- Dynamic models for single-cell RNA-seq time series.☆40Updated 6 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 4 years ago
- scRNAseq integration with triplet neural networks☆41Updated 2 years ago
- A study to compare methods for clustering of scRNA-seq data☆43Updated 10 months ago
- Multi-study integration of cellular trajectories☆19Updated 5 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆23Updated 4 years ago
- Imputation method for scRNA-seq based on low-rank approximation☆74Updated last year
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆53Updated 5 years ago
- SPATA Package for spatial gene expression analysis☆22Updated 3 years ago
- Predicted cell-cell interactions of the aging mouse brain☆20Updated 5 years ago
- Automated marker-based annotation of cell types☆13Updated 2 years ago
- A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batch…☆38Updated 3 years ago
- ☆29Updated 2 years ago
- Capybara: A computational tool to measure cell identity and fate transitions☆59Updated 3 years ago
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 3 years ago
- ☆59Updated 3 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆40Updated 3 years ago
- Assembles a graph manifold from time series single-cell RNAseq data☆17Updated 4 years ago
- ☆37Updated 8 years ago