Clustered alignments of gene-expression time series data

Motivation: Characterizing and comparing temporal gene-expression responses is an important computational task for answering a variety of questions in biological studies. Algorithms for aligning time series represent a valuable approach for such analyses. However, previous approaches to aligning gen...

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Detalles Bibliográficos
Autores principales: Smith, Adam A., Vollrath, Aaron, Bradfield, Christopher A., Craven, Mark
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Ismb/Eccb 2009 Conference Proceedings June 27 to July 2, 2009, Stockholm, Sweden
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687960/
https://www.ncbi.nlm.nih.gov/pubmed/19477977
http://dx.doi.org/10.1093/bioinformatics/btp206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687960/
https://www.ncbi.nlm.nih.gov/pubmed/19477977
http://dx.doi.org/10.1093/bioinformatics/btp206

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