See eigensample in All languages combined, or Wiktionary
{ "etymology_templates": [ { "args": { "1": "en", "2": "eigen", "3": "sample" }, "expansion": "eigen- + sample", "name": "prefix" } ], "etymology_text": "From 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": "other", "name": "Pages with 1 entry", "parents": [], "source": "w" }, { "kind": "other", "name": "Pages with entries", "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": "quote" }, { "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": "quote" } ], "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": "From 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", "Pages with 1 entry", "Pages with entries", "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": "quote" }, { "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": "quote" } ], "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" }
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This page is a part of the kaikki.org machine-readable English dictionary. This dictionary is based on structured data extracted on 2025-01-31 from the enwiktionary dump dated 2025-01-20 using wiktextract (bcd5c38 and 9dbd323). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.
If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.