Alternatives and similar repositories for BetaVAEImputation

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

• 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
• luslab / arshamg-scrnaseq-wgan
  Wasserstein Generative Adversarial Network for analysing scRNAseq data
  ☆34Updated 4 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• shwhalen / ml-pitfalls
  Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"
  ☆45Updated last year
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆88Updated last year
• Oshlack / splatter-paper
  Data and analysis for the Splatter paper
  ☆29Updated 7 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• ushaham / BatchEffectRemoval
  ☆56Updated 5 years ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• mematt / ml4calibrated450k
  This is a companion repository for the article "Comparative analysis of machine learning classifiers and calibration algorithms for estim…
  ☆23Updated 3 years ago
• urmi-21 / COVID-19-RNA-Seq-datasets
  A repository for sharing information on available COVID-19 RNA-Seq datasets
  ☆80Updated 3 years ago
• ohlerlab / DeepRiPe
  ☆24Updated last year
• GuipengLi / SharePathway
  a python package for KEGG pathway enrichment analysis with multiple gene lists.
  ☆36Updated 7 years ago
• vahuynh / dynGENIE3
  Semi-parametric approach for the inference of gene regulatory networks from time series of expression data
  ☆26Updated 3 months ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 9 months ago
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆46Updated 5 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• Vivianstats / scImpute
  Accurate and robust imputation of scRNA-seq data
  ☆97Updated 6 years ago
• daniel-spies / rna-seq_tcComp
  Comparison of RNA-seq time course differential expression analysis tools
  ☆13Updated 7 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• MarioniLab / FurtherMNN2018
  Code for further development of the mutual nearest neighbours batch correction method, as implemented in the batchelor package.
  ☆22Updated 5 years ago
• LuyiTian / sc_mixology
  This contains the dataset for comparing scRNA-seq analysis methods
  ☆91Updated 5 years ago
• PMBio / deepcpg
  Deep neural networks for predicting CpG methylation
  ☆37Updated 8 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• lhqing / mouse_brain_2020
  Jupyter notebook repository for reproducing analysis in "DNA Methylation Landscape of the Mouse Brain at Single-Cell Resolution"
  ☆14Updated 5 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆56Updated 3 years ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆60Updated last year
• kundajelab / ChromDragoNN
  Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…
  ☆44Updated 4 years ago
• SchulzLab / TEPIC
  Annotation of genomic regions using transcription factor binding sites and epigenetic data
  ☆41Updated 3 years ago