Consulta: creatorFacets:"Torres-Avilés,Francisco"
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Data/hora: 03/06/2024 05:41:40

Data mining and influential analysis of gene expression data for plant resistance gene identification in tomato (Solanum lycopersicum)
Provedor de dados: 69
Autores: Torres-Avilés,Francisco; Romeo,José S; López-Kleine,Liliana.
Background Molecular mechanisms of plant-pathogen interactions have been studied thoroughly but much about them is still unknown. A better understanding of these mechanisms and the detection of new resistance genes can improve crop production and food supply. Extracting this knowledge from available genomic data is a challenging task. Results Here, we evaluate the usefulness of clustering, data-mining and regression to identify potential new resistance genes. Three types of analyses were conducted separately over two conditions, tomatoes inoculated with Phytophthora infestans and not inoculated tomatoes. Predictions for 10 new resistance genes obtained by all applied methods were selected as being the most reliable and are therefore reported as potential...
Tipo: Journal article
Palavras-chave: Classification; Data mining; Functional gene prediction; GEE models; Gene expression data; Plant immunity genes.
Ano: 2014
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582014000200004