Detail publikačního výsledku

Additional Predictive Value of Microarray Data Compared to Clinical Variables

ŠILHAVÁ, J.; SMRŽ, P.

Originální název

Additional Predictive Value of Microarray Data Compared to Clinical Variables

Anglický název

Additional Predictive Value of Microarray Data Compared to Clinical Variables

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

logistic regression, boosting, generalized linear models, prediction, microarray data, clinical data, breast cancer

Autoři

ŠILHAVÁ, J.; SMRŽ, P.

Rok RIV

2010

Vydáno

09.06.2009

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

6

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"
}