Data Mining for Gene Networks Relevant to Poor Prognosis in Lung Cancer via Backward-Chaining Rule Induction

Data Mining for Gene Networks Relevant to Poor Prognosis in Lung Cancer via Backward-Chaining Rule Induction

We use Backward Chaining Rule Induction (BCRI), a novel data mining method for hypothesizing causative mechanisms, to mine lung cancer gene expression array data for mechanisms that could impact survival. Initially, a supervised learning system is used to generate a prediction model in the form of “...

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Bibliographic Details
Main Authors: Zhihua Chen, Douglas H. Fisher, Lewis J. Frey, Lianhong Tang, Mary E. Edgerton
Format: Article
Language:English
Published: SAGE Publishing 2007-01-01
Series:Cancer Informatics
Subjects:
microarray
data analysis
molecular mechanisms
class discovery
semi-supervised methods
decision trees
C4.5
non-small cell lung cancer
systems biology
Online Access:http://la-press.com/article.php?article_id=49

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http://la-press.com/article.php?article_id=49

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