Molecular phenotypic portraits - Exploring the ‘OMES’ with individual resolution

Author

Binder, H. ; Hopp, L. ; Cakir, V. ; Fasold, M. ; von Bergen, M. ; Wirth, H.

Author_Institution

Interdiscipl. Centre for Bioinf., Univ. Leipzig, Leipzig, Germany

fYear

2011

fDate

2-5 May 2011

Firstpage

99

Lastpage

107

Abstract

Self organizing maps (SOMs) portrait molecular phenotypes with individual resolution. We demonstrate the potency of the method in selected applications characterizing the diversity of gene expression in different tissues and cancer subtypes, mRNA and miRNA fingerprints of stem cells, the proteome landscape of algae and genomic relations between humans from different populations. It is further shown that SOM portraiting provides a comprehensive frame to describe development, differentiation and diversity in space and/or time.

Keywords

DNA; RNA; biological tissues; cancer; cellular biophysics; genetics; genomics; medical computing; microorganisms; proteins; proteomics; self-organising feature maps; algae; cancer subtypes; gene expression; genomic relations; mRNA fingerprints; miRNA fingerprints; molecular phenotypic portraits; portrait molecular phenotypes; proteome landscape; self-organizing maps; stem cells; tissue subtypes; Bioinformatics; Gene expression; Immune system; Prostate cancer; Stem cells; Tiles;

fLanguage

English

Publisher

ieee

Conference_Titel

Health Informatics and Bioinformatics (HIBIT), 2011 6th International Symposium on

Conference_Location

Izmir

Print_ISBN

978-2-4673-4394-4

Type

conf

DOI

10.1109/HIBIT.2011.6450817

Filename

6450817