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DTW-MIC Coexpression Networks from Time-Course Data
When modeling coexpression networks from high-throughput time course data, Pearson Correlation Coefficient (PCC) is one of the most effective and popular similarity functions. However, its reliability is limited since it cannot capture non-linear interactions and time shifts. Here we propose to over...
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| Vydáno v: | PLoS One |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4816347/ https://ncbi.nlm.nih.gov/pubmed/27031641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0152648 |
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