Pabico, Mojica and Micor (2008) Design of a Homogeneous Ensemble for Splice-Site Identification in Human Sequences

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Design of a Homogeneous Ensemble for Splice-Site Identification in Human Sequences

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CONTRIBUTORS:

	Author:	Pabico, Jaderick P. (University of the Philippines Los Banos)
	Author:	Mojica, Elmer-Rico E. (University of the Philippines Los Banos)
	Author:	Micor, Jose Rene L.

PROCEEDINGS TITLE:

Proceedings (CD-ROM) of the 10th International Conference on Molecular Systems Biology

YEAR:

2008

PUB TYPE:

Conference Paper in Proceedings

PAGES:

n/a - n/a

SUBJECT(S):

plice-site recognition; neural network; ensemble

DISCIPLINE:

No discipline assigned

HTTP:

http://www.ics.uplb.edu.ph/node/266

LANGUAGE:

None

PUB ID:

103-444-117 (Last edited on 2008/10/20 06:11:51 GMT-6)

SPONSOR(S):

ABSTRACT:
This paper outlines a methodology for designing and implementing two novel combination methods for an ensemble of neural network models that classify donor and acceptor sites in human genome sequences. Using a data set of 3,190 sequences, the majority-vote ensemble reduced the false sites recognized by the best stand-alone neural network model by more than 1% while the weighted-vote ensemble reduced it further by more than 3%.

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