Alternatives and similar repositories for deepimpute

Users that are interested in deepimpute are comparing it to the libraries listed below

• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆59Updated last year
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆86Updated last year
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 4 years ago
• klarman-cell-observatory / scPhere
  ☆100Updated 2 years ago
• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆78Updated last year
• Vivianstats / scImpute
  Accurate and robust imputation of scRNA-seq data
  ☆95Updated 5 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆78Updated 5 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆75Updated 6 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆109Updated 9 months ago
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆46Updated 4 years ago
• urmi-21 / COVID-19-RNA-Seq-datasets
  A repository for sharing information on available COVID-19 RNA-Seq datasets
  ☆79Updated 3 years ago
• gao-lab / Cell_BLAST
  A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
  ☆93Updated 11 months ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆40Updated 2 years ago
• cantinilab / momix-notebook
  ☆66Updated last year
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 2 years ago
• asncd / MIMOSCA
  A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.
  ☆91Updated 5 years ago
• bm2-lab / scLearn
  scLearn：Learning for single cell assignment
  ☆35Updated 7 months ago
• saezlab / dorothea
  R package to access DoRothEA's regulons
  ☆149Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆42Updated last year
• decomverse / ACTIONet
  ACTIONet single-cell analysis framework
  ☆42Updated 9 months ago
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆102Updated last year
• KrishnaswamyLab / SingleCellWorkshop
  ☆90Updated 4 years ago
• LuyiTian / sc_mixology
  This contains the dataset for comparing scRNA-seq analysis methods
  ☆91Updated 4 years ago
• theislab / scgen-reproducibility
  ☆29Updated 4 years ago
• smaslova / AI-TAC
  ☆27Updated 2 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 2 years ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆103Updated 2 years ago