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Mining proteomic data for biomedical research




TekijätElo LL, Schwikowski B

KustantajaWILEY PERIODICALS, INC

Julkaisuvuosi2012

JournalWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Tietokannassa oleva lehden nimiWILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY

Lehden akronyymiWIRES DATA MIN KNOWL

Numero sarjassa1

Vuosikerta2

Numero1

Aloitussivu1

Lopetussivu13

Sivujen määrä13

ISSN1942-4787

DOIhttps://doi.org/10.1002/widm.45


Tiivistelmä
The popularity of proteomics in biomedical research has grown with the development of advanced measurement technologies. This has enabled high-throughput protein expression profiling, modification-specific proteomics, and global protein-protein interaction maps. Although proteomics has great potential in providing deeper understanding of the role of individual proteins and protein networks in disease and in unveiling the underlying disease mechanisms, challenges arise in transforming the large-scale experimental data into biomedical knowledge for clinical practice and drug development. In particular, sophisticated computational tools are required to interpret the high-dimensional proteomic datasets that typically reflect not only biological information, but also technical biases and limitations. This review gives an overview of the role of data mining in biomedical applications of proteomics, with a focus on data from mass spectrometry-based expression profiling studies. (C) 2011 Wiley Periodicals, Inc.



Last updated on 2024-26-11 at 16:16