Revisiting the negative example sampling problem for predicting protein–protein interactions | Zendy

Yungki Park | Zendy; Edward M. Marcotte | Zendy

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Revisiting the negative example sampling problem for predicting protein–protein interactions

Author(s) -

Yungki Park,

Edward M. Marcotte

Publication year - 2011

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/btr514

Subject(s) - sampling (signal processing) , computer science , confusion , sequence (biology) , population , data mining , machine learning , protein sequencing , artificial intelligence , biology , peptide sequence , medicine , genetics , psychology , environmental health , filter (signal processing) , gene , psychoanalysis , computer vision

A number of computational methods have been proposed that predict protein-protein interactions (PPIs) based on protein sequence features. Since the number of potential non-interacting protein pairs (negative PPIs) is very high both in absolute terms and in comparison to that of interacting protein pairs (positive PPIs), computational prediction methods rely upon subsets of negative PPIs for training and validation. Hence, the need arises for subset sampling for negative PPIs.

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