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Multivariate Analysis of Data Sets with Missing Values: An Information Theory-Based Reliability Function
Missing values in complex biological data sets have significant impacts on our ability to correctly detect and quantify interactions in biological systems and to infer relationships accurately. In this article, we propose a useful metaphor to show that information theory measures, such as mutual inf...
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| Veröffentlicht in: | J Comput Biol |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Mary Ann Liebert, Inc., publishers
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6383577/ https://ncbi.nlm.nih.gov/pubmed/30495984 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2018.0179 |
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