Detection of Splice Sites Using Support Vector Machine

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Detection of Splice Sites Using Support Vector Machine

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wetenschappelijk artikel

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наукова стаття, опублікована у 2009

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Detection of Splice Sites Using Support Vector Machine

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Detection of Splice Sites Using Support Vector Machine

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Detection of Splice Sites Using Support Vector Machine

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Detection of Splice Sites Using Support Vector Machine

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Detection of Splice Sites Using Support Vector Machine

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Detection of Splice Sites Using Support Vector Machine

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P1476

Detection of Splice Sites Using Support Vector Machine

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P2093

Bhumika Arora

http://www.w3.org/2001/XMLSchema#string

Neetesh Purohit

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P2860

Improving the Caenorhabditis elegans genome annotation using machine learning

EID: the Exon-Intron Database-an exhaustive database of protein-coding intron-containing genes.

Knowledge-based analysis of microarray gene expression data by using support vector machines

Splice site identification using probabilistic parameters and SVM classification.

Splice site prediction in Arabidopsis thaliana pre-mRNA by combining local and global sequence information.

Assessment of protein coding measures.

The study of correlation structures of DNA sequences: a critical review.

Application of a time-delay neural network to promoter annotation in the Drosophila melanogaster genome.

Engineering support vector machine kernels that recognize translation initiation sites.

SpliceMachine: predicting splice sites from high-dimensional local context representations.

P304

493-502

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P31

scholarly article

P356

10.1007/978-3-642-03547-0_47

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P50

Pritish Kumar Varadwaj

P577

2009-01-01T00:00:00Z

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P921

support vector machine