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Component plane presentation integrated self‐organizing map for microarray data analysis
Author(s) -
Xiao Li,
Wang Kankan,
Teng Yue,
Zhang Ji
Publication year - 2003
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/s0014-5793(03)00156-x
Subject(s) - microarray databases , component (thermodynamics) , microarray analysis techniques , computer science , sample (material) , microarray , self organizing map , data mining , computational biology , artificial intelligence , biology , cluster analysis , gene , gene expression , genetics , chemistry , chromatography , physics , thermodynamics
We describe a powerful approach, component plane presentation integrated self‐organizing map (SOM), for the analysis of microarray data. This approach allows the display of multi‐dimensional SOM outputs of microarray data in multiple sample specific presentations, providing distinct advantages in visual inspection of biological significances of genes clustered in each map unit with respect to each RNA sample. Beneficial potentials of the approach are highlighted by processing microarray data from yeast cells as well as human breast malignancies.