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...
Saved in:
Main Authors: | R Geetha Ramani, Shomona Gracia Jacob |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2013
|
Subjects: | |
Online Access: | https://doaj.org/article/7ec57f2330024a3d87dfe0ca54d004de |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mining the Protein Data Bank to improve prediction of changes in protein-protein binding.
by: Samuel Coulbourn Flores, et al.
Published: (2021) -
Mining the Protein Data Bank to improve prediction of changes in protein-protein binding
by: Samuel Coulbourn Flores, et al.
Published: (2021) -
Washing with alkaline solutions in protein A purification improves physicochemical properties of monoclonal antibodies
by: Yuichi Imura, et al.
Published: (2021) -
Publisher Correction: Washing with alkaline solutions in protein A purification improves physicochemical properties of monoclonal antibodies
by: Yuichi Imura, et al.
Published: (2021) -
Cocoa Nanoparticles to Improve the Physicochemical and Functional Properties of Whey Protein-Based Films to Extend the Shelf Life of Muffins
by: Sergio de Jesús Calva-Estrada, et al.
Published: (2021)