Artikel ; Online: Benchmarking network algorithms for contextualizing genes of interest.
PLoS Computational Biology, Vol 15, Iss 12, p e
2019 Band 1007403
Abstract: Computational approaches have shown promise in contextualizing genes of interest with known molecular interactions. In this work, we evaluate seventeen previously published algorithms based on characteristics of their output and their performance in ... ...
Abstract | Computational approaches have shown promise in contextualizing genes of interest with known molecular interactions. In this work, we evaluate seventeen previously published algorithms based on characteristics of their output and their performance in three tasks: cross validation, prediction of drug targets, and behavior with random input. Our work highlights strengths and weaknesses of each algorithm and results in a recommendation of algorithms best suited for performing different tasks. |
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Schlagwörter | Biology (General) ; QH301-705.5 |
Sprache | Englisch |
Erscheinungsdatum | 2019-12-01T00:00:00Z |
Verlag | Public Library of Science (PLoS) |
Dokumenttyp | Artikel ; Online |
Datenquelle | BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl) |
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