Nonlinear Quantitative Radiation Sensitivity Prediction Model Based on NCI-60 Cancer Cell Lines
We proposed a nonlinear model to perform a novel quantitative radiation sensitivity prediction. We used the NCI-60 panel, which consists of nine different cancer types, as the platform to train our model. Important radiation therapy (RT) related genes were selected by significance analysis of microa...
Main Authors: | Zhang, Chunying, Girard, Luc, Das, Amit, Chen, Sun, Zheng, Guangqiang, Song, Kai |
---|---|
Format: | Online |
Language: | English |
Published: |
Hindawi Publishing Corporation
2014
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083270/ |
Similar Items
-
HLA class I and II genotype of the NCI-60 cell lines
by: Adams, Sharon, et al.
Published: (2005) -
Expression of MicroRNAs in the NCI-60 Cancer Cell-Lines
by: Patnaik, Santosh K., et al.
Published: (2012) -
Proteins associated with the doubling time of the NCI-60 cancer cell lines
by: Michael Polymenis
Published: (2017-08-01) -
Bioinformatic analyses identifies novel protein-coding pharmacogenomic markers associated with paclitaxel sensitivity in NCI60 cancer cell lines
by: Eng, Lawson, et al.
Published: (2011) -
Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel
by: Cortés-Ciriano, Isidro, et al.
Published: (2016)