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...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7ec57f2330024a3d87dfe0ca54d004de |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|