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A new tool to study genetic expression using 2‐D electrophoresis data: the functional map concept
Author(s) -
Rabilloud T.,
Vincens P.,
Tarroux P.
Publication year - 1985
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/0014-5793(85)81018-8
Subject(s) - electrophoresis , expression (computer science) , computational biology , function (biology) , multivariate statistics , peptide mapping , computer science , pattern recognition (psychology) , biological system , data mining , biology , artificial intelligence , genetics , machine learning , peptide sequence , gene , programming language
A method derived from general computerized data analysis techniques is used here first to tabulate the characteristics of individual peptide spots observed by two‐dimensional electrophoresis and to compare these characteristics among spots. Multivariate analysis of such data arrays then leads to the grouping of spots in an n ‐dimensional space, according to their expression characteristics. Such maps display zones which are characteristic of the tissue studied. These functional maps provide a powerful analytical tool for describing such functional interactions and also for predicting the function of unidentified peptides observed on the electrophoresis gels.