Codeplot
Introduction
Script
Input
Output
marker
Introduction

rank genes for characterizing groups base on scanpy.tl.rank_genes_groups

Script
Input
Task nameAttribute nameTypeDescription
*
      main.marker
    groupbyString
      The key of the observations grouping to consider.
    
*
      main
    project_nameString
      project name
    
*
      main
    anndataFile
      Input object format：anndata
    
*
      main.marker
    n_genesInt
      The number of genes that appear in the returned tables. Defaults to all genes.
    
*
      main.marker
    methodString
      The default method is 't-test', 't-test_overestim_var' overestimates variance of each group, 'wilcoxon' uses Wilcoxon rank-sum, 'logreg' uses logistic regression. See [Ntranos18], here and here, for why this is meaningful.
    
*
      main.marker
    memoryString
      Number of memory running tasksnotice:1. The value range is 0.25-32 cores, in addition, 48 cores and 64 cores can be selected, and the CPU must be an integer multiple of 0.25 cores; 2. The memory value range is 1GB-512GB, and the memory must be an integer multiple of 1GB. 3. The CPU / memory ratio must be between 1:2 and 1:8
    
*
      main.marker
    dockerString
      --
    
*
      main.marker
    cpuString
      Number of CPU running tasks.notice:1. The value range is 0.25-32 cores, in addition, 48 cores and 64 cores can be selected, and the CPU must be an integer multiple of 0.25 cores; 2. The memory value range is 1GB-512GB, and the memory must be an integer multiple of 1GB. 3. The CPU / memory ratio must be between 1:2 and 1:8
    
Output
Task nameAttribute nameTypeDescription
*
      main
    pngfileArray[File]
      Return the output file to the column name of the corresponding table by this.xxx
    
*
      main
    h5adfileFile
      Return the output file to the column name of the corresponding table by this.xxx