Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis | Zendy

Sihai Dave Zhao | Zendy; Giovanni Parmigiani | Zendy; Curtis Huttenhower | Zendy; Levi Waldron | Zendy

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Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis

Author(s) -

Sihai Dave Zhao,

Giovanni Parmigiani,

Curtis Huttenhower,

Levi Waldron

Publication year - 2014

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/btu488

Subject(s) - bioconductor , computer science , simplicity , sign (mathematics) , simple (philosophy) , lasso (programming language) , r package , artificial intelligence , machine learning , pattern recognition (psychology) , algorithm , mathematics , programming language , mathematical analysis , philosophy , biochemistry , epistemology , gene , chemistry

The successful translation of genomic signatures into clinical settings relies on good discrimination between patient subgroups. Many sophisticated algorithms have been proposed in the statistics and machine learning literature, but in practice simpler algorithms are often used. However, few simple algorithms have been formally described or systematically investigated.

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