Alternatives and similar repositories for AutoImpute

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

• duct317 / scDHA
  A tool for single-cell data analysis.
  ☆41Updated 2 weeks ago
• audreyqyfu / LATE
  Imputation of single cell RNA-sequencing data with autoencoder
  ☆16Updated 4 years ago
• flo-compbio / monet
  Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
  ☆40Updated 4 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 5 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 6 years ago
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆23Updated 4 years ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆74Updated 2 weeks ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆59Updated 4 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• wang-research / VASC
  Variational autoencoder for single cell RNA-seq datasets
  ☆44Updated 8 years ago
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆40Updated 3 years ago
• KrishnaswamyLab / SAUCIE
  ☆100Updated last year
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 4 years ago
• bioFAM / slalom
  ☆29Updated 2 years ago
• suinleelab / DeepProfile
  DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression sa…
  ☆19Updated 7 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆56Updated 3 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• vals / Blog
  ☆37Updated this week
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆110Updated last year
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• yycunc / SAFEclustering
  SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data
  ☆18Updated 4 years ago
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆18Updated 3 years ago
• mruffalo / sc-rna-seq-pipeline
  ☆22Updated 5 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆73Updated 3 years ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 2 years ago
• wagnerde / STITCH
  Assembles a graph manifold from time series single-cell RNAseq data
  ☆18Updated 4 years ago
• yanailab / enhance
  ENHANCE: Accurate denoising of single-cell RNA-Seq data (Python implementation)
  ☆14Updated 6 years ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 3 years ago
• markrobinsonuzh / scRNAseq_clustering_comparison
  A study to compare methods for clustering of scRNA-seq data
  ☆43Updated last year