Engineering support vector machine kernels that recognize translation initiation sites | Zendy

Alexander Zien | Zendy; Gunnar Rätsch | Zendy; Mika Sirén | Zendy; Bernhard Schölkopf | Zendy; Thomas Lengauer | Zendy; K. Müller | Zendy

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Engineering support vector machine kernels that recognize translation initiation sites

Author(s) -

Alexander Zien,

Gunnar Rätsch,

Mika Sirén,

Bernhard Schölkopf,

Thomas Lengauer,

K. Müller

Publication year - 2000

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/16.9.799

Subject(s) - computer science , support vector machine , machine translation , artificial intelligence , translation (biology) , machine learning , task (project management) , kernel method , kernel (algebra) , function (biology) , pattern recognition (psychology) , biology , mathematics , engineering , biochemistry , systems engineering , combinatorics , evolutionary biology , messenger rna , gene

In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points at which regions start that code for proteins. These points are called translation initiation sites (TIS).

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