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Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features.

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Title Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features.
Not Available
 
Creator Prabina Kumar Meher
Tanmaya Kumar Sahu
A R Rao
S D Wahi
 
Subject Hsplice
Hybrid approach
Machine learning
Sequence encoding
 
Description Not Available
Identification of splice sites is essential for the annotation of genes. Though existing approaches have achieved an acceptable level of accuracy, still there is a need for further improvement. Besides, most of the approaches are species-specific and hence it is required to develop approaches compatible across species.
Not Available
 
Date 2022-08-07T07:12:07Z
2022-08-07T07:12:07Z
2016-06-01
 
Type Research Paper
 
Identifier Meher, P.K., Sahu, T.K., Rao, A.R. et al. Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features. Algorithms Mol Biol 11, 16 (2016). https://doi.org/10.1186/s13015-016-0078-4
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http://krishi.icar.gov.in/jspui/handle/123456789/73736
 
Language English
 
Relation Not Available;
 
Publisher Not Available