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Markovian encoding models in human splice site recognition using SVM
Elham Pashaei
*
,
Nizamettin Aydin
*
Corresponding author for this work
Yildiz Technical University
Research output
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Contribution to journal
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Article
›
peer-review
12
Citations (Scopus)
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Keyphrases
Markovian
100%
Splice Site
100%
Encoding Model
100%
Splice Site Recognition
100%
Prediction Accuracy
33%
Performance Criteria
33%
Web Server
33%
Challenging Tasks
33%
Third Order
33%
Support Vector Machine
33%
DNA Sequencing
33%
Markov Model
33%
Pattern Recognition
33%
Encoding Method
33%
Performance Comparison
33%
Sequence Encoding
33%
Bioinformatics
33%
Machine Learning Classifiers
33%
Web Tool
33%
Markovian Approach
33%
Gene Annotation
33%
Biological Data
33%
Markovian Model
33%
Splice Site Prediction
33%
Nucleotide Encoding Method
33%
Novel Sequences
33%
Learning Methods
33%
Precision Evaluation
33%
Computer Science
Support Vector Machine
100%
Annotation
50%
Support Vector Machine
50%
Prediction Accuracy
50%
Performance Comparison
50%
Web Server
50%
Experimental Result
50%
Performance Criterion
50%
Machine Learning
50%
Learning System
50%
Pattern Recognition
50%