lanagarmire / deepimpute
An accurate and efficient deep learning method for single-cell RNA-seq data imputation
☆84Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for deepimpute
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆39Updated last year
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆54Updated 7 months ago
- Imputation method for scRNA-seq based on low-rank approximation☆73Updated 11 months ago
- spatial transcriptome, single cell☆65Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆55Updated last year
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…☆105Updated 10 months ago
- A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.☆86Updated 4 months ago
- ☆48Updated 5 years ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆60Updated 6 months ago
- Snakemake pipeline that works with the scIB package to benchmark data integration methods.☆66Updated last year
- Geometry-preserving random sampling☆75Updated 3 weeks ago
- ☆19Updated 3 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆37Updated 2 months ago
- This contains the dataset for comparing scRNA-seq analysis methods☆89Updated 4 years ago
- R package to access DoRothEA's regulons☆133Updated 9 months ago
- ACTIONet single-cell analysis framework☆36Updated 2 months ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆100Updated last year
- scLearn：Learning for single cell assignment☆34Updated last year
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆73Updated 11 months ago
- Single-Cell Clustering Assessment Framework☆93Updated last year
- Context specific and dynamic gene regulatory network reconstruction and analysis☆111Updated 2 months ago
- ☆126Updated last year
- ☆97Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆34Updated 2 years ago
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆41Updated 2 years ago
- repository containing analysis scripts and auxiliary files☆30Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆29Updated 2 years ago
- SingleCellNet: classify single cells across species and platforms☆131Updated last year