Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193189" target="_blank" >RIV/68407700:21230/12:00193189 - isvavai.cz</a>
Result on the web
<a href="http://delivery.acm.org/10.1145/2190000/2189819/ttb2012030788.pdf?ip=147.32.80.13&acc=ACTIVE%20SERVICE&CFID=105155070&CFTOKEN=54614029&__acm__=1337931276_cc8c68fee89e41aac8fe30bb2da302e7" target="_blank" >http://delivery.acm.org/10.1145/2190000/2189819/ttb2012030788.pdf?ip=147.32.80.13&acc=ACTIVE%20SERVICE&CFID=105155070&CFTOKEN=54614029&__acm__=1337931276_cc8c68fee89e41aac8fe30bb2da302e7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TCBB.2012.23" target="_blank" >10.1109/TCBB.2012.23</a>
Alternative languages
Result language
angličtina
Original language name
Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification
Original language description
The availability of a great range of prior biological knowledge about the roles and functions of genes and gene-gene interactions allows us to simplify the analysis of gene expression data to make it more robust, compact and interpretable. Here, we objectively analyze the applicability of functional clustering for the identification of groups of functionally related genes. The analysis is performed in terms of gene expression classification and uses predictive accuracy as an unbiased performance measure. Features of biological samples that originally corresponded to genes are replaced by features that correspond to the centroids of the gene clusters and are then used for classifier learning. Using ten benchmark datasets, we demonstrate that functionalclustering significantly outperforms random clustering without biological relevance. We also show that functional clustering performs comparably to gene expression clustering, which groups genes according to the similarity of their expres
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EB - Genetics and molecular biology
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Computational Biology and Bioinformatics
ISSN
1545-5963
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
788-798
UT code for WoS article
000301293900014
EID of the result in the Scopus database
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