Correcting mistakes in predicting distributions | Zendy

Valérie Marot-Lassauzaie | Zendy; Michael Bernhofer | Zendy; Burkhard Rost | Zendy

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Correcting mistakes in predicting distributions

Author(s) -

Valérie Marot-Lassauzaie,

Michael Bernhofer,

Burkhard Rost

Publication year - 2018

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/bty346

Subject(s) - false positive paradox , computer science , false positives and false negatives , confusion matrix , simple (philosophy) , class (philosophy) , true positive rate , range (aeronautics) , confusion , data mining , fraction (chemistry) , artificial intelligence , machine learning , algorithm , psychology , philosophy , chemistry , materials science , organic chemistry , epistemology , psychoanalysis , composite material

Many applications monitor predictions of a whole range of features for biological datasets, e.g. the fraction of secreted human proteins in the human proteome. Results and error estimates are typically derived from publications.

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