"eigensample" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "eigen",
        "3": "sample"
      },
      "expansion": "eigen- + sample",
      "name": "prefix"
    }
  ],
  "etymology_text": "eigen- + sample",
  "forms": [
    {
      "form": "eigensamples",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "eigensample (plural eigensamples)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English terms prefixed with eigen-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Genetics",
          "orig": "en:Genetics",
          "parents": [
            "Biology",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2007, Marketa Zvelebil, Jeremy Baum, Understanding Bioinformatics, page 633",
          "text": "The expression level of every gene in an eigensample is given in matrix U, and the expression level of every eigengene in each sample is given in matrix Vᵀ.",
          "type": "quotation"
        },
        {
          "ref": "2015, Jian Liu et al., A P-Norm Robust Feature Extraction Method for Identifying Differentially Expressed Genes",
          "text": "To obtain the eigensamples which contain the characteristic structure of the gene expression data, matrix X is decomposed into W (the product of U and D) and VT by using SVD, where W is the collection of all the eigensamples [8, 15]",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A set of samples with similar activity for an eigengene."
      ],
      "id": "en-eigensample-en-noun-2Ezz1Wu6",
      "links": [
        [
          "genetics",
          "genetics"
        ],
        [
          "sample",
          "sample"
        ],
        [
          "activity",
          "activity"
        ],
        [
          "eigengene",
          "eigengene"
        ]
      ],
      "raw_glosses": [
        "(genetics) A set of samples with similar activity for an eigengene."
      ],
      "topics": [
        "biology",
        "genetics",
        "medicine",
        "natural-sciences",
        "sciences"
      ]
    }
  ],
  "word": "eigensample"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "eigen",
        "3": "sample"
      },
      "expansion": "eigen- + sample",
      "name": "prefix"
    }
  ],
  "etymology_text": "eigen- + sample",
  "forms": [
    {
      "form": "eigensamples",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "eigensample (plural eigensamples)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English nouns",
        "English terms prefixed with eigen-",
        "English terms with quotations",
        "Quotation templates to be cleaned",
        "en:Genetics"
      ],
      "examples": [
        {
          "ref": "2007, Marketa Zvelebil, Jeremy Baum, Understanding Bioinformatics, page 633",
          "text": "The expression level of every gene in an eigensample is given in matrix U, and the expression level of every eigengene in each sample is given in matrix Vᵀ.",
          "type": "quotation"
        },
        {
          "ref": "2015, Jian Liu et al., A P-Norm Robust Feature Extraction Method for Identifying Differentially Expressed Genes",
          "text": "To obtain the eigensamples which contain the characteristic structure of the gene expression data, matrix X is decomposed into W (the product of U and D) and VT by using SVD, where W is the collection of all the eigensamples [8, 15]",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A set of samples with similar activity for an eigengene."
      ],
      "links": [
        [
          "genetics",
          "genetics"
        ],
        [
          "sample",
          "sample"
        ],
        [
          "activity",
          "activity"
        ],
        [
          "eigengene",
          "eigengene"
        ]
      ],
      "raw_glosses": [
        "(genetics) A set of samples with similar activity for an eigengene."
      ],
      "topics": [
        "biology",
        "genetics",
        "medicine",
        "natural-sciences",
        "sciences"
      ]
    }
  ],
  "word": "eigensample"
}