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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...
Autores principales: | Smith, Adam A., Vollrath, Aaron, Bradfield, Christopher A., Craven, Mark |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
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 |
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