Dataset Open Access

A comparison of automatic cell identification methods for single-cell RNA-sequencing data

Tamim Abdelaal; Lieke Michielsen; Davy Cats; Dylan Hoogduin; Hailiang Mei; Marcel Reinders; Ahmed Mahfouz


JSON-LD (schema.org) Export

{
  "description": "<p>Benchmark datasets used to evaluate the performance of 22 classifiers for cell type classification for scRNA-seq data</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Delft university of technology", 
      "@type": "Person", 
      "name": "Tamim Abdelaal"
    }, 
    {
      "affiliation": "Delft university of technology", 
      "@type": "Person", 
      "name": "Lieke Michielsen"
    }, 
    {
      "affiliation": "Leiden University Medical Center", 
      "@type": "Person", 
      "name": "Davy Cats"
    }, 
    {
      "affiliation": "Leiden University Medical Center", 
      "@type": "Person", 
      "name": "Dylan Hoogduin"
    }, 
    {
      "affiliation": "Leiden University Medical Center", 
      "@type": "Person", 
      "name": "Hailiang Mei"
    }, 
    {
      "affiliation": "Delft university of technology", 
      "@type": "Person", 
      "name": "Marcel Reinders"
    }, 
    {
      "affiliation": "Leiden University Medical Center", 
      "@type": "Person", 
      "name": "Ahmed Mahfouz"
    }
  ], 
  "url": "https://zenodo.org/record/3357167", 
  "datePublished": "2019-08-01", 
  "keywords": [
    "scRNA-seq", 
    "Benchmark", 
    "Classification", 
    "Cell identity"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/f15de581-e764-4d0b-8d35-24a237b926f4/scRNAseq_Benchmark_datasets.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3357167", 
  "@id": "https://doi.org/10.5281/zenodo.3357167", 
  "@type": "Dataset", 
  "name": "A comparison of automatic cell identification methods for single-cell RNA-sequencing data"
}
1,390
4,255
views
downloads
All versions This version
Views 1,3901,101
Downloads 4,2553,099
Data volume 12.1 TB11.4 TB
Unique views 1,208977
Unique downloads 1,238971

Share

Cite as