Detail publikace

Additional Predictive Value of Microarray Data Compared to Clinical Variables

ŠILHAVÁ Jana a SMRŽ Pavel. Additional Predictive Value of Microarray Data Compared to Clinical Variables. In: PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics. Sheffield: University of Sheffield, 2009, s. 1-6. ISBN 978-0-9563399-0-4.
Název česky
Additional Predictive Value of Microarray Data Compared to Clinical Variables
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
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.

Rok
2009
Strany
1-6
Sborník
PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Konference
Pattern Recognition in Bioinformatics , Sheffield, GB
ISBN
978-0-9563399-0-4
Vydavatel
University of Sheffield
Místo
Sheffield, GB
BibTeX
@INPROCEEDINGS{FITPUB9124,
   author = "Jana \v{S}ilhav\'{a} and Pavel Smr\v{z}",
   title = "Additional Predictive Value of Microarray Data Compared to Clinical Variables",
   pages = "1--6",
   booktitle = "PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics",
   year = 2009,
   location = "Sheffield, GB",
   publisher = "University of Sheffield",
   ISBN = "978-0-9563399-0-4",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9124"
}
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