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ŠILHAVÁ, J. SMRŽ, P.
Originální název
Additional Predictive Value of Microarray Data Compared to Clinical Variables
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Microarrays as a promising technology for prediction of cancer diagnosis have attracted attention of many researchers in recent years. Researchers often neglect clinical data used for prediction of diagnosis compared to pre-microarray era. An important problem is determination of an additional predictive value of microarray data in relation to clinical variables. We propose a new two-step method combining logistic regression and BinomialBoosting models, to determine the additional predictive value of microarray data. This method is evaluated on two benchmark breast cancer datasets together with other already published method. The new method can combine clinical and microarray data more effectively and enables simple addition of various types of data into the combined prediction.
Klíčová slova
logistic regression, boosting, generalized linear models, prediction, microarray data, clinical data, breast cancer
Autoři
ŠILHAVÁ, J.; SMRŽ, P.
Rok RIV
2009
Vydáno
9. 6. 2009
Nakladatel
University of Sheffield
Místo
Sheffield
ISBN
978-0-9563399-0-4
Kniha
PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Strany od
1
Strany do
6
Strany počet
BibTex
@inproceedings{BUT30911, author="Jana {Šilhavá} and Pavel {Smrž}", title="Additional Predictive Value of Microarray Data Compared to Clinical Variables", booktitle="PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics", year="2009", pages="1--6", publisher="University of Sheffield", address="Sheffield", isbn="978-0-9563399-0-4" }