AutoMotif Server for prediction of phosphorylation sites in proteins using support vector machine: 2007 update (Q47262316)

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title

AutoMotif Server for prediction of phosphorylation sites in proteins using support vector machine: 2007 update (English)

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support vector machine

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4

Leszek Rychlewski

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5

Krzysztof Ginalski

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Dariusz Plewczynski

series ordinal

1

object named as

Dariusz Plewczynski

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Lucjan S Wyrwicz

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3

object named as

Lucjan S Wyrwicz

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author name string

Adrian Tkacz

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2

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publication date

8 November 2007

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Journal of Molecular Modeling

published in

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volume

14

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issue

1

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page(s)

69-76

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describes a project that uses

support vector machine

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Protein sulfation analysis--A primer

inferred from title

cites work

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Crossref

https://api.crossref.org/works/10.1007%2FS00894-007-0250-3

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Predicting the phosphorylation sites using hidden Markov models and machine learning methods.

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Support vector machine classification and validation of cancer tissue samples using microarray expression data

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Finding flexible patterns in unaligned protein sequences

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Protein secondary structure prediction based on an improved support vector machines approach

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Comparison of support vector machine and artificial neural network systems for drug/nondrug classification

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Engineering support vector machine kernels that recognize translation initiation sites

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Highly specific protein sequence motifs for genome analysis

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Phosphorylation site prediction with a modified k-nearest neighbor algorithm and BLOSUM62 matrix.

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10.1007/S00894-007-0250-3

Identifiers

DOI

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12 January 2018