Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models.

Detecting divergence between oncogenic tumors plays a pivotal role in cancer diagnosis and therapy. This research work was focused on designing a computational strategy to predict the class of lung cancer tumors from the structural and physicochemical properties (1497 attributes) of protein sequence...

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Autores principales: R Geetha Ramani, Shomona Gracia Jacob
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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R
Q
Acceso en línea:https://doaj.org/article/7ec57f2330024a3d87dfe0ca54d004de
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