ushaham / BatchEffectRemoval

Related projects: ⓘ

• bioFAM / slalom
  ☆28Updated last year
• rhondabacher / ISMB2019_SingleCellTutorial
  Tutorials and code for ISMB 2019 short course on Recent Advances in Statistical Methods and Computational Algorithms for Single-Cell Omic…
  ☆39Updated 5 years ago
• sandhya212 / BISCUIT_SingleCell_IMM_ICML_2016
  R Codebase for BISCUIT: Infinite Mixture Model to cluster and impute single cells.
  ☆65Updated 6 years ago
• czi-hca-comp-tools / easy-data
  easy access to benchmark datasets
  ☆49Updated 6 years ago
• lmweber / cytometry-clustering-comparison
  R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
  ☆44Updated 7 years ago
• Vivianstats / scImpute
  Accurate and robust imputation of scRNA-seq data
  ☆91Updated 5 years ago
• Dongwon-Lee / lsgkm
  ☆50Updated 10 months ago
• markrobinsonuzh / scRNAseq_clustering_comparison
  A study to compare methods for clustering of scRNA-seq data
  ☆41Updated 2 months ago
• MarioniLab / MNN2017
  Code for the MNN manuscript figures
  ☆50Updated 5 years ago
• lanagarmire / NMFEM
  ☆15Updated 7 years ago
• kundajelab / ChromDragoNN
  Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…
  ☆44Updated 3 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 5 years ago
• LuyiTian / sc_mixology
  This contains the dataset for comparing scRNA-seq analysis methods
  ☆89Updated 4 years ago
• SchulzLab / TEPIC
  Annotation of genomic regions using transcription factor binding sites and epigenetic data
  ☆39Updated 2 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆65Updated 2 years ago
• wang-research / VASC
  Variational autoencoder for single cell RNA-seq datasets
  ☆43Updated 7 years ago
• zhanglhbioinfor / DIRECT-NET
  ☆10Updated last year
• smaslova / AI-TAC
  ☆26Updated last year
• shwhalen / targetfinder
  ☆80Updated 3 years ago
• brianhie / geosketch
  Geometry-preserving random sampling
  ☆75Updated 3 years ago
• zhangyan32 / HiCPlus
  ☆30Updated 4 years ago
• Tchanders / network_inference_tutorials
  ☆31Updated 5 years ago
• pachterlab / scRNA-Seq-TCC-prep
  Preprocessing of single-cell RNA-Seq (deprecated)
  ☆62Updated 5 years ago
• slowkow / tftargets
  Human transcription factor target genes from 6 databases in convenient R format.
  ☆85Updated 5 years ago
• decomverse / ACTIONet
  ACTIONet single-cell analysis framework
  ☆36Updated this week
• MarioniLab / FurtherMNN2018
  Code for further development of the mutual nearest neighbours batch correction method, as implemented in the batchelor package.
  ☆22Updated 4 years ago
• linnarsson-lab / BackSPIN
  Biclustering algorithm
  ☆55Updated 6 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.
  ☆26Updated 4 years ago
• QiuyuLian / CITE-sort
  ☆15Updated 3 years ago
• jlakkis / CarDEC
  ☆19Updated 3 years ago