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On Artificial Gene Regulatory Networks
(Sociedad Argentina de Informática E Investigación Operativa, 2008-12)
Gene regulatory networks (GRNs) represent dependencies between genes and their products during protein synthesis at the molecular level. At the present there exist many inference methods that infer GRNs form observed data. ...
Resistance to rust (Puccinia psidii Winter) in Eucalyptus: mode of inheritance and mapping of a major gene with RAPD markers
(Theoretical and Applied Genetics, 2018)
Cell cycle genes are activated earlier than respiratory genes during release of grapevine buds from endodormancy
(Taylor & Francis, 2017)
Single-bud cuttings of Vitis vinifera L exposed to forced growing conditions were used to investigate the involvement of phytohormones, abscisic acid (ABA), auxin (Aux) and cytokinin (CK) in the release of buds from the ...
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series
(IEEE Computer Society, 2015-11)
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. ...
High homologous gene conservation despite extreme autopolyploid redundancy in sugarcane
(WILEY-BLACKWELL PUBLISHING, INC, 2011)
P>Modern sugarcane (Saccharum spp.) is the leading sugar crop and a primary energy crop. It has the highest level of `vertical` redundancy (2n = 12x = 120) of all polyploid plants studied to date. It was produced about a ...
A proposal for direct-ordering gene expression data by self-organising maps
(Elsevier Science BvAmsterdamHolanda, 2004)