Alternatives and similar repositories for dropkick

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

• lcmmichielsen / scHPL
  ☆37Updated 7 months ago
• alexisvdb / singleCellHaystack
  Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
  ☆85Updated last year
• Novartis / scar
  scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
  ☆55Updated last year
• forrest-lab / NATMI
  NATMI: Network Analysis Toolkit for the Multicellular Interactions
  ☆35Updated 4 years ago
• CFeregrino / scWGCNA
  scWGCNA
  ☆61Updated 2 years ago
• ebi-gene-expression-group / scanpy-scripts
  Scripts for using scanpy
  ☆38Updated 6 months ago
• PoolLab / generecovery
  ☆29Updated 2 years ago
• theislab / pseudodynamics
  Dynamic models for single-cell RNA-seq time series.
  ☆40Updated 7 years ago
• dpeerlab / Harmony
  Harmony framework for connecting scRNA-seq data from discrete time points
  ☆51Updated last year
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆43Updated 2 years ago
• lhe17 / nebula
  ☆42Updated 3 months ago
• netbiolab / scHumanNet
  Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3
  ☆43Updated last month
• PMBio / MuDataSeurat
  .h5mu files interface for Seurat
  ☆31Updated last year
• neurorestore / DE-analysis
  ☆39Updated 4 years ago
• wmacnair / psupertime
  psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels
  ☆43Updated 3 years ago
• bendemeo / shannonca
  Information-based dimensionality reduction
  ☆29Updated 9 months ago
• shenorrLabTRDF / cellAlign
  ☆43Updated 4 years ago
• JCVenterInstitute / NSForest
  A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…
  ☆65Updated last month
• BradBalderson / Cytocipher
  Analysis methods for analysing single cell RNA-seq data; particularly with the goal of checking if tentative clusters of cells are signif…
  ☆38Updated 2 years ago
• davemcg / scEiaD
  Snakefile-based process to turn 1.4 million ocular cells into a unified meta-atlas
  ☆26Updated last year
• mainciburu / WAT3R
  Workflow for the Association of T-cell receptors from 3' single-cell RNA-seq (WAT3R)
  ☆21Updated 2 years ago
• bioinfoDZ / RISC
  A R package for integrated scRNA-seq data analysis using the RPCI algorithm
  ☆44Updated last year
• kharchenkolab / cacoa
  Single-cell Case Control Analysis
  ☆52Updated last week
• immunogenomics / cna
  Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…
  ☆55Updated 4 months ago
• loosolab / scanpro
  A modular tool for proportion analysis in single-cell sequencing data
  ☆23Updated 2 weeks ago
• lanagarmire / SSrGE
  ☆34Updated 6 years ago
• Jiaxin-Fan / MuSiC2
  cell type deconvolution for multi-condition bulk RNA-seq data
  ☆28Updated 3 years ago
• saezlab / CollecTRI
  Gene regulatory network containing signed transcription factor-target gene interactions
  ☆87Updated 4 months ago
• broadinstitute / single_cell_classification
  Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles
  ☆29Updated 5 years ago
• Sun-lab / ideas
  Individual level Differential Expression Analysis for Single cells
  ☆25Updated 2 years ago