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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Detalles Bibliográficos
Autores principales: Ramani, R. Geetha, Jacob, Shomona Gracia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3591381/
https://www.ncbi.nlm.nih.gov/pubmed/23505559
http://dx.doi.org/10.1371/journal.pone.0058772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3591381/
https://www.ncbi.nlm.nih.gov/pubmed/23505559
http://dx.doi.org/10.1371/journal.pone.0058772

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