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Visualization-based cancer microarray data calssification analysis
Mramor, Minca (Avtor), Leban, Gregor (Avtor), Demšar, Janez (Avtor), Zupan, Blaž (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://eprints.fri.uni-lj.si/892/ Novo okno

Izvleček
MOTIVATION: Methods for analyzing cancer microarray data often face two distinct challenges: the models they infer need to perform well when classifying new tissue samples while at the same time providing an insight into the patterns and gene interactions hidden in the data. State-of-the-art supervised data mining methods often cover well only one of these aspects, motivating the development of methods where predictive models with a solid classification perform-ance would be easily communicated to the domain expert. RESULTS: Data visualization may provide for an excellent approach to knowledge discovery and analysis of class-labeled data. We have previously developed an approach called VizRank that can score and rank point-based visualizations according to degree of separa-tion of data instances of different class. We here extend VizRank with techniques to uncover outliers, score features (genes) and per-form classification, as well as to demonstrate that the proposed approach is well-suited for cancer microarray analysis. Using VizRank and radviz visualization on a set of previously published cancer microarray data sets, we were able to find simple, interpret-able data projections that include only a small subset of genes yet do clearly differentiate among different cancer types. We also report that our approach to classification through visualization achieves performance that is comparable to state-of-the-art supervised data mining techniques. AVAILABILITY: VizRank and radviz are implemented as part of the Orange data mining suite (http://www.ailab.si/orange). SUPPLEMENTARY MATERIAL: Supplementary material is available from http://www.ailab.si/supp/bi-cancer.

Jezik:Angleški jezik
Ključne besede:odkrivanje znanj v podatkih, vizualizacija, analiza mikromrež, rak, bioinformatika
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FRI - Fakulteta za računalništvo in informatiko
Leto izida:2007
Št. strani:str. 2147-2154
Številčenje:Vol. 23, no. 16
UDK:004.9:61
ISSN pri članku:1367-4803
COBISS.SI-ID:6087252 Povezava se odpre v novem oknu
Število ogledov:436
Število prenosov:125
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Bioinformatics
Skrajšan naslov:Bioinformatics
Založnik:Oxford University Press
ISSN:1367-4803
COBISS.SI-ID:806536 Novo okno

Sekundarni jezik

Jezik:Neznan jezik
Ključne besede:data mining, visualization, microarray analysis, cancer, bioinformatics

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