Identifying pair-wise gene functional similarity by multiplex gene expression maps and supervised learning

An, Li; Ling, Haibin; Obradović, Zoran; Smith, Desmond J.; Megalooikonomou, Vasileios

doi:10.1145/2147805.2147825

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2012

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“…These findings can be potentially used for predicting gene functions and providing helpful clues to biologists. This manuscript significantly adds to the preliminary results reported in [ 18 ] by investigating new image features, performing new experiments to select the most significant of the 455 features, analyzing more gene ontologies, and performing regression in addition to classification used earlier [ 18 ]. The most significant features detected are different and more effective from those obtained in [ 18 ] resulting in increased prediction accuracy.…”

Section: Introductionmentioning

confidence: 99%

Learning pair-wise gene functional similarity by multiplex gene expression maps

Ling

Obradović

et al. 2012

BMC Bioinformatics

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Background: The relationships between the gene functional similarity and gene expression profile, and between gene function annotation and gene sequence have been studied extensively. However, not much work has considered the connection between gene functions and location of a gene's expression in the mammalian tissues. On the other hand, although unsupervised learning methods have been commonly used in functional genomics, supervised learning cannot be directly applied to a set of normal genes without having a target (class) attribute.

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Section: Introductionmentioning

confidence: 99%