Mining gene expression profiles and gene regulatory networks: Identification of phenotype‐specific molecular mechanisms

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Title

Mining gene expression profiles and gene regulatory networks: Identification of phenotype‐specific molecular mechanisms (EN)

Creator

Μουστακης Βασιλης (EL)

Moustakis Vasilis (EN)

Alexandros Kanterakis (EN)

George Potamias (EN)

Dimitris Kafetzopoulos (EN)

Type

conferenceItem

poster

Conference item
Conference poster (EN)

Issued

2008

Year

2008 (EN)

Description

The complex regulatory mechanisms of genes and their transcription are the major gene regulatory steps in the cell. Gene Regulatory Networks (GRNs) and DNA Microarrays (MAs) present two of the most prominent and heavily researched concepts in contemporary molecular biology and bioinformatics. The challenge in contemporary biomedical informatics research lies in systems biology - the linking of various pillars of heterogeneous data so they can be used in synergy for life science research. Faced with this challenge we devised and present an integrated methodology that ‘amalgamates’ knowledge and data from both GRNs and MA gene expression sources. The methodology, is able to identify phenotype-specific GRN functional paths, and aims to uncover potential gene-regulatory ‘fingerprints’ and molecular mechanisms that govern the genomic profiles of diseases. Initial implementation and experimental results on a real-world breast-cancer study demonstrate the suitability and reliability of the approach. (EN)

Conference

5th Hellenic Conference of AI Proceedings (EL)

Language

English

Publisher

Springer Verlag (EN)

School / Department / Institute

Πολυτεχνείο Κρήτης (EL)

Technical University of Crete (EN)

Provider

Technical University of Crete

Repository / collection