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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Detalles Bibliográficos
Autores principales: Riccadonna, Samantha, Jurman, Giuseppe, Visintainer, Roberto, Filosi, Michele, Furlanello, Cesare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816347/
https://www.ncbi.nlm.nih.gov/pubmed/27031641
http://dx.doi.org/10.1371/journal.pone.0152648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816347/
https://www.ncbi.nlm.nih.gov/pubmed/27031641
http://dx.doi.org/10.1371/journal.pone.0152648

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