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Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges.

In-silico approaches are routinely adopted to predict the effects of genetic variants and their relation to diseases. The Critical Assessment of Genome Interpretation (CAGI) has established a common framework for the assessment of available predictors of variant effects on specific problems and our...

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Bibliographische Detailangaben
Veröffentlicht in:Hum Mutat
Hauptverfasser: Savojardo, Castrense, Babbi, Giulia, Bovo, Samuele, Capriotti, Emidio, Martelli, Pier Luigi, Casadio, Rita
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7281835/
https://ncbi.nlm.nih.gov/pubmed/31066146
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.23784
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