Publication Details

Additional Predictive Value of Microarray Data Compared to Clinical Variables

ŠILHAVÁ Jana and 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, pp. 1-6. ISBN 978-0-9563399-0-4.
Czech title
Additional Predictive Value of Microarray Data Compared to Clinical Variables
Type
conference paper
Language
english
Authors
Keywords
logistic regression, boosting, generalized linear models, prediction, microarray data, clinical data, breast cancer
Abstract
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.
Published
2009
Pages
1-6
Proceedings
PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Conference
Pattern Recognition in Bioinformatics , Sheffield, GB
ISBN
978-0-9563399-0-4
Publisher
University of Sheffield
Place
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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