Combining Gene Expression and Clinical Data to Increase Performance of Prognostic Breast Cancer Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101906" target="_blank" >RIV/00216305:26230/12:PU101906 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Combining Gene Expression and Clinical Data to Increase Performance of Prognostic Breast Cancer Models
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01010931" target="_blank" >TA01010931: System for FISH analysis evaluation support</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
4th International Conference on Agents and Artificial Intelligence
ISBN
978-989-8425-95-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
Institute for Systems and Technologies of Information, Control and Communication
Place of publication
Algarve
Event location
Algarve
Event date
Feb 6, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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