Arabidopsis thaliana computationally-generated next-state gene interaction models
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2019Autor(es)
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The construction of gene interaction models must be a fully collaborative and
intentional effort. All aspects of the research, such as growing the plants, extracting the measurements,
refining the measured data, developing the statistical framework, and forming and
applying the algorithmic techniques, must lend themselves to repeatable and sound practices.
This paper holistically focuses on the process of producing gene interaction models based on
transcript abundance data from Arabidopsis thaliana after stimulation by a plant hormone.
Cómo citar
LaPointe, B., John, D., Norris, J., Harkey, A. F., Muhlemann, J. K. & Muday, G. K. (2019). Arabidopsis thaliana computationally-generated next-state gene interaction models. En Hacia la transformación digital. Actas del I Congreso Internacional de Ingeniería de Sistemas (pp. 17-26). Lima, 13 y 14 de septiembre del 2018. Universidad de Lima, Fondo Editorial.Editor
Universidad de Lima, Fondo EditorialCategoría / Subcategoría
Ingeniería de sistemas / Diseño y métodosTemas
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