Splice Site Recognition using Transfer Learning

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Conference Proceedings (fully refereed)
5
2014
Giannoulis
G. Giannoulis, A. Krithara, C. Karatsalos and G. Paliouras
In this work, we consider a transfer learning approach based on K-means for splice site recognition. We use different representations for the sequences, based on n-gram graphs. In addition, a novel representation based on the secondary structure of the sequences is proposed. We evaluate our approach on genomic sequence data from model organisms of varying evolutionary distance. The first obtained results indicate that the proposed representations are promising for the problem of splice site recognition.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
SETN 2014
Conference Full Name: 
8th Hellenic Conference on Artificial Intelligence
Conference Country: 
GR:Greece
Conference City: 
Ioannina
Conference Venue: 
Conference Center "Karolos Papoulias"
Conference Date(s): 
Thu, 15/05/2014 - Sat, 17/05/2014
Conference Level: 
National
Editor(s): 
Artificial Intelligence: Methods and Applications
Publisher: 
Springer International Publishing
Publication Series: 
Lecture Notes in Computer Science
Volume: 
8445
Page Start: 
341
Page End: 
353
ISBN Code: 
PRINT:978-3-319-07063-6, ONLINE:978-3-319-07064-3

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