Alternatives and similar repositories for scDEC

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

• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆77Updated last year
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆21Updated 4 months ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• QuKunLab / MultiomeBenchmarking
  ☆49Updated 7 months 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
• suinleelab / contrastiveVI
  ☆56Updated last year
• qiaochen / VeloAE
  Low-dimensional Projection of Single Cell Velocity
  ☆28Updated 3 years ago
• zhanglhbioinfor / DIRECT-NET
  ☆12Updated 2 years ago
• theislab / scArches-reproducibility
  Reproducing result from the paper
  ☆34Updated 4 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆60Updated 5 years ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago
• CostaLab / scMEGA
  scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference
  ☆40Updated last year
• zcang / SpaOTsc
  ☆45Updated 2 months ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 11 months ago
• YangLabHKUST / Portal
  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
  ☆33Updated 2 years ago
• cistrome / MIRA
  Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
  ☆64Updated 3 months ago
• CostaLab / scopen
  scOpen: single-cell open chromatin analysis via NMF modelling
  ☆28Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• sqjin / scAI
  An unsupervised approach for the integrative analysis of single-cell multi-omics data
  ☆30Updated 4 years ago
• bm2-lab / scMVP
  ☆33Updated 5 months ago
• bm2-lab / scLearn
  scLearn：Learning for single cell assignment
  ☆35Updated 9 months ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆70Updated 2 years ago
• datapplab / AutoClass
  ☆44Updated 3 years ago
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆46Updated 5 years ago
• bowang-lab / DeepVelo
  ☆46Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 9 months ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆60Updated last year