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Transcription profiling of closely related citrus varieties

ABSTRACT: An experiment was performed to predict citrus varieties by means of supervised learning algorithms applied to gene expression profiles

ORGANISM(S): Citrus clementina

SUBMITTER: Jose Gadea

PROVIDER: E-TABM-76 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Class prediction of closely related plant varieties using gene expression profiling.

Ancillo G G Gadea J J Forment J J Guerri J J Navarro L L

Journal of experimental botany 20070423 8

In recent years, class prediction experiments have been largely developed in cancer research with the aim of classifying unknown samples by examining their expression signature. In natural populations, a significant component of gene expression variability is also heritable. Citrus species are an ideal model to accomplish the study of these questions in plants, due to the existence of varieties derived from somatic mutations that are likely to differ from each other by one or a few point mutatio ...[more]

PMID: 17452756

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