Alternatives and similar repositories for sisua

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

• jlakkis / CarDEC
  ☆19Updated 4 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
• txWang / BERMUDA
  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
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 6 years ago
• chenlingantelope / HarmonizationSCANVI
  Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper
  ☆13Updated 3 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• yycunc / SAMEclustering
  SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data
  ☆15Updated 4 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• mhu10 / scPanoView
  ☆11Updated 5 years ago
• bowang87 / SIMLR_PY
  Python Implementation of SIMLR for single-cell visualization and analysis
  ☆23Updated 3 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• yycunc / SAFEclustering
  SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data
  ☆18Updated 4 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• jingshuw / SAVERX
  R package for transfer learning of single-cell RNA-seq denoising
  ☆30Updated 3 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆37Updated 7 months ago
• ushaham / BatchEffectRemoval
  ☆56Updated 5 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 5 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• jwang-lab / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆11Updated 5 years ago
• ZJUFanLab / scDeepSort_performance_comparison
  The source code and results for different methods on annotating external testing datsets of human and mouse.
  ☆12Updated 4 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 8 months ago
• mohuangx / SAVER-paper
  Scripts for data and figure generation in SAVER paper
  ☆17Updated 4 years ago
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆88Updated last year
• caleblareau / asap_reproducibility
  Reproducing all analyses and figures for the ASAP-seq paper
  ☆29Updated 4 years ago
• audreyqyfu / LATE
  Imputation of single cell RNA-sequencing data with autoencoder
  ☆16Updated 4 years ago
• fabriziocosta / GraphEmbed
  Compute a 2D embedding of a data matrix given supervised class information.
  ☆12Updated 5 years ago