{
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "bureauCode": [
    "009:25"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "NIH",
    "hasEmail": "mailto:info@nih.gov"
  },
  "description": "Background\n          Microarray technologies are emerging as a promising tool for genomic studies. The challenge now is how to analyze the resulting large amounts of data. Clustering techniques have been widely applied in analyzing microarray gene-expression data. However, normal mixture model-based cluster analysis has not been widely used for such data, although it has a solid probabilistic foundation. Here, we introduce and illustrate its use in detecting differentially expressed genes. In particular, we do not cluster gene-expression patterns but a summary statistic, the t-statistic.\n        \n        \n          Results\n          The method is applied to a data set containing expression levels of 1,176 genes of rats with and without pneumococcal middle-ear infection. Three clusters were found, two of which contain more than 95% genes with almost no altered gene-expression levels, whereas the third one has 30 genes with more or less differential gene-expression levels.\n        \n        \n          Conclusions\n          Our results indicate that model-based clustering of t-statistics (and possibly other summary statistics) can be a useful statistical tool to exploit differential gene expression for microarray data.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "description": "Visit the original government dataset for complete information, documentation, and data access.",
      "downloadURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC65687/",
      "mediaType": "text/html",
      "title": "Official Government Data Source"
    }
  ],
  "identifier": "https://healthdata.gov/api/views/yh42-xkaf",
  "issued": "2025-07-14",
  "keyword": [
    "cluster-analysis",
    "gene-expression",
    "microarray-data",
    "nih",
    "pneumococcal-infection"
  ],
  "landingPage": "https://healthdata.gov/d/yh42-xkaf",
  "modified": "2025-09-06",
  "programCode": [
    "009:033"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "National Institutes of Health"
  },
  "theme": [
    "NIH"
  ],
  "title": "Model-based cluster analysis of microarray gene-expression data"
}