Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study Mark-A. Krogel, Marcus Denecke, Marco Landwehr, and Tobias Scheffer   View Paper (PDF)   Return to December 2002 - Volume 4, Issue 2 Abstract In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among genes and information automatically extracted from scientific abstracts improves the accuracy of our predictions. DiSC'03 © 2003 Association for Computing Machinery