A Pairwise Probabilistic Framework To Infer Functional Gene Networks And Identify Key Genes In Response To Perturbations

dc.date.accessioned2019-03-27T15:56:33Z
dc.date.accessioned2022-10-18T22:06:17Z
dc.date.available2019-03-27T15:56:33Z
dc.date.available2022-10-18T22:06:17Z
dc.date.created2019-03-27T15:56:33Z
dc.date.issued2017
dc.identifierhttp://hdl.handle.net/10533/233514
dc.identifier1141097
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4464871
dc.description.abstractIt is second nature nowadays to use changes in gene expression to identify relevant genes in response to a perturbation or in a developmental transition. However, many key genes for an organism’s response are not regulated at the gene expression level (e.
dc.languageeng
dc.relation12°
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/1141097
dc.relationReunión de Biología Vegetal
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleA Pairwise Probabilistic Framework To Infer Functional Gene Networks And Identify Key Genes In Response To Perturbations
dc.typePonencia


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