Feature Engineering for a Gene Regulation Prediction Task

Forman, George

HP Development Company

关键词: machine learning;    hierarchical attributes;    bioinformatics;    KDD Cup Competition;   

RP-ID  :  HPL-2002-318

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

This paper describes an approach that won honorable mention for the gene regulation prediction task of the 2002 KDD Cup competition [1]. Our methodology used extensive cross-validation to direct the search for an appropriate problem representation and the selection of an 'off-the-shelf' induction algorithm. A prominent trait of the dataset is the presence of three hierarchical attributes, for each of which we generated a novel predictive feature: the percentage of positives hierarchically aggregated at the node specified by the instance. Notes: Published in KDD Explorations, 4(2), 2003 2 Pages