遺伝子発現プロファイル類似度としてのピアソン相関係数と相互情報量の比較

• 法隆 大輔

  農業・食品産業技術総合研究機構中央農業総合研究センター

• 林 武司

  農業・食品産業技術総合研究機構中央農業総合研究センター

書誌事項

タイトル別名

• Comparison between Pearson Correlation Coefficient and Mutual Information as a Similarity Measure of Gene Expression Profiles
• イデンシ ハツゲン プロファイル ルイジド ト シテ ノ ピアソン ソウカン ケイスウ ト ソウゴ ジョウホウリョウ ノ ヒカク

抄録

Definition of similarity is required for clustering co-expressed genes or estimating gene regulatory network from gene expression data. Pearson correlation coefficient and mutual information are the popular measures to evaluate similarity between gene expression profiles. To investigate which measure is appropriate for evaluating similarity between gene expression profiles, we have compared these two measures using Gene ontology annotation similarity. Genes that have similar Gene ontology annotations can be interpreted that they have commonality in biological processes or molecular functions. The results showed that the better similarity measure is different depending on the purpose of the analysis or from which organism the data derived. In the case of evaluating similarities among more than three genes, mutual information was a better similarity measure for the data derived from multicellular organisms, though Pearson correlation coefficient was a better similarity measure for the data derived from unicellular organisms. In the case of finding genes whose transcripts have similar functions or genes that participate to similar processes, Pearson correlation coefficient was always a better measure.

収録刊行物

• 計量生物学

  計量生物学 33 (2), 125-143, 2013

  日本計量生物学会

キーワード

• Pearson correlation
• coefficient
• mutual information
• gene expression
• Gene ontology

詳細情報

• CRID: 1390282679348187776
• NII論文ID: 10031155995
• NII書誌ID: AA11591618
• DOI: 10.5691/jjb.33.125
• ISSN: 21856494
• ISSN: 09184430
• NDL書誌ID: 024297371
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024297371
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可