Mostrar el registro sencillo del ítem
dc.contributor.author | Bree, David-John | |
dc.contributor.author | LaPointe, Ann | |
dc.contributor.author | Norris, James | |
dc.contributor.author | Harkey, Alexandria | |
dc.contributor.author | Muhlemann, Joëlle | |
dc.contributor.author | Muday, Gloria | |
dc.date.accessioned | 2019-07-09T21:33:15Z | |
dc.date.available | 2019-07-09T21:33:15Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Bree, D. J., LaPointe, A., 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. | es |
dc.identifier.uri | http://repositorio.ulima.edu.pe/handle/ulima/8739 | |
dc.description.abstract | 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. | en |
dc.format | application/pdf | |
dc.language.iso | eng | en |
dc.publisher | Universidad de Lima, Fondo Editorial | es_PE |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Universidad de Lima | es_PE |
dc.source | Repositorio Institucional - Ulima | es_PE |
dc.subject | Pendiente | es |
dc.subject | Hacia la transformación digital. Actas del I Congreso Internacional de Ingeniería de Sistemas | es |
dc.subject.classification | Pendiente / Pendiente | es |
dc.title | Arabidopsis thaliana computationally-generated next-state gene interaction models | en |
dc.type | info:eu-repo/semantics/conferenceObject | es_PE |
dc.type.other | Artículo de conferencia | es_PE |
dc.publisher.country | Perú | es |
dc.description.peer-review | Revisado por pares | es |