DocumentCode :
1948773
Title :
Learning Methods for DNA Binding in Computational Biology
Author :
Kon, Mark ; Holloway, Dustin ; Fan, Yue ; Sai, Chaitanya ; DeLis, Charles
Author_Institution :
Boston Univ., Boston
fYear :
2007
fDate :
12-17 Aug. 2007
Firstpage :
2358
Lastpage :
2365
Abstract :
We describe some recently developed and new applications of learning theory to prediction of binding by transcription factors to DNA in yeast and humans, as well as location of binding sites. This has potential applications to new types of biochemical bindings as well. Some related algorithms for identifying binding site locations are described.
Keywords :
DNA; biology computing; learning (artificial intelligence); DNA binding; computational biology; learning method; Artificial neural networks; Bioinformatics; Biological neural networks; Biology computing; Computational biology; DNA; Kernel; Learning systems; Neural networks; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2007.4371327
Filename :
4371327
Link To Document :
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