Publication Details

Combining Gene Expression and Clinical Data to Increase Performance of Prognostic Breast Cancer Models

ŠILHAVÁ Jana and SMRŽ Pavel. Combining Gene Expression and Clinical Data to Increase Performance of Prognostic Breast Cancer Models. In: 4th International Conference on Agents and Artificial Intelligence. Algarve: Institute for Systems and Technologies of Information, Control and Communication, 2012, pp. 1-6. ISBN 978-989-8425-95-9.
Type
conference paper
Language
english
Authors
Keywords

generalized linear models, logistic regression, regularization, combined data, gene expression data

Abstract

Microarray class prediction is an important application of gene expression data in biomedical research. Combining gene expression data with other relevant data may add valuable information and can generate more accurate prognostic predictions. In this paper, we combine gene expression data with clinical data. We use logistic regression models that can be built through various regularized techniques. Generalized linear models enables combining of these models with different structure of data. Our two suggested approaches are evaluated with publicly available breast cancer data sets. Based on the results, our approaches have a positive effect on prediction performances and are not computationally intensive.

Published
2012
Pages
1-6
Proceedings
4th International Conference on Agents and Artificial Intelligence
Conference
4th International Conference on Agents and Artificial Intelligence, Algarve, PT
ISBN
978-989-8425-95-9
Publisher
Institute for Systems and Technologies of Information, Control and Communication
Place
Algarve, PT
BibTeX
@INPROCEEDINGS{FITPUB10233,
   author = "Jana \v{S}ilhav\'{a} and Pavel Smr\v{z}",
   title = "Combining Gene Expression and Clinical Data to Increase Performance of Prognostic Breast Cancer Models",
   pages = "1--6",
   booktitle = "4th International Conference on Agents and Artificial Intelligence",
   year = 2012,
   location = "Algarve, PT",
   publisher = "Institute for Systems and Technologies of Information, Control and Communication",
   ISBN = "978-989-8425-95-9",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10233"
}
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