Predicting the effects of gene deletion

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Predicting the effects of gene deletion

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ACM SIGKDD Explorations Newsletter archive
Volume 4 , Issue 2 (December 2002) table of contents

Pages: 101 - 103

Year of Publication: 2002

ISSN:1931-0145

Authors

David S. Vogel	A.I. Insight, Inc., Orlando, FL
Randy C. Axelrod	Sentara Healthcare, Norfolk, VA

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 9, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues peer to peer

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ABSTRACT

In this paper, we describe techniques that can be used to predict the effects of gene deletion. We will focus mainly on the creation of predictive variables, and then briefly discuss different modeling techniques that have been used successfully on this data.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Saccharomyces Genome Deletion Project web page, the list of essential ORFs link: http://www-sequence.stanford.edu/group/yeast_deletion_project/Essential_ORFs.txt
	2	Functional Profiling of the Saccharomyces cerevisiae Genome. Nature 418: 387--391 (2002).
	3	Winzeler, E., Shoemaker, D., Astromoff, A. Liang, H., et al. Functional Characterization of the Saccharomyces cerevisiae Genome by Gene Deletion and Parallel Analysis. Science. 285, 901--906. (1999).
	4	Shoemaker, D., Lashkari, D.A., Morris, D., Mittmann, M. & Davis, R.W. Quantitative phenotypic analysis of yeast deletion mutants using a highly parallel molecular bar-coding strategy. Nature Genetics. 14, 450--456 (1996).

CITED BY

Mark-A. Krogel , Tobias Scheffer, Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics, Machine Learning, v.57 n.1-2, p.61-81, October-November 2004

INDEX TERMS

Keywords:
KDD, KDD Cup, decision tree, deletion, essential, gene, interaction, model, prediction, text mining

Collaborative Colleagues:

David S. Vogel: colleagues

Randy C. Axelrod: colleagues

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