Alternatives and similar repositories for deepcytof

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

• SofieVG / FlowSOM
  Using self-organizing maps for visualization and interpretation of cytometry data
  ☆65Updated last year
• eiriniar / CellCnn
  Representation Learning for detection of phenotype-associated cell subsets
  ☆66Updated 5 years ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• lmweber / cytometry-clustering-comparison
  R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
  ☆45Updated 8 years ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 3 years ago
• nolanlab / vortex
  VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:
  ☆34Updated 2 years ago
• camlab-bioml / astir
  astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
  ☆57Updated 4 months ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• KrishnaswamyLab / SAUCIE
  ☆100Updated last year
• labsyspharm / visinity
  ☆17Updated last year
• BIRSBiointegration / Hackathon
  Multi-omics studies are available here
  ☆52Updated 3 years ago
• hhcho / netsne
  ☆21Updated 7 years ago
• cooperlab / TCGAIntegrator
  Python utilities for building integrated views of TCGA data.
  ☆32Updated 7 years ago
• princethewinner / FiRE
  ☆27Updated 6 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆73Updated 3 years ago
• saeyslab / FlowCytometryScripts
  ☆25Updated 9 years ago
• lmweber / diffcyt
  R package for differential discovery analyses in high-dimensional cytometry data
  ☆21Updated 8 months ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆56Updated last year
• dpeerlab / PhenoGraph
  Subpopulation detection in high-dimensional single-cell data
  ☆71Updated 5 years ago
• Teichlab / bbknn
  Batch balanced KNN
  ☆173Updated 2 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆59Updated 3 years ago
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 6 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• jacoblevine / PhenoGraph
  Subpopulation detection in high-dimensional single-cell data
  ☆137Updated 5 years ago
• marrlab / HematoFatePrediction
  Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…
  ☆20Updated 3 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
• greenelab / multi-plier
  An unsupervised transfer learning approach for rare disease transcriptomics
  ☆46Updated 5 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 5 years ago
• ismms-himc / visium-clustergrammer2
  Spatial Transcriptomics Dashboard
  ☆27Updated 2 years ago
• klarman-cell-observatory / scPhere
  ☆102Updated 2 years ago