DMCA
CORRECTION Correction: Gene Expression Ratios Lead to Accurate and Translatable Predictors of DR5 Agonism across Multiple Tumor Lineages (2016)
BibTeX
@MISC{Reddy16correctioncorrection:,
author = {Anupama Reddy and Joseph D. Growney and Nick S. Wilson and Caroline M. Emery and A. Johnson and Kelli A. Monaco and Joshua Korn and John E. Monahan and D. Stump and Felipa A. Mapa and Christopher J. Wilson and Janine Steiger and Jebediah Ledell and J. Rickles and Vic E. Myer and Seth A. Ettenberg and Robert Schlegel and William R. Sellers and A. Huet and Joseph Lehár},
title = {CORRECTION Correction: Gene Expression Ratios Lead to Accurate and Translatable Predictors of DR5 Agonism across Multiple Tumor Lineages},
year = {2016}
}
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Abstract
S1 File includes the incorrect data in the “Data S3 GREP model classifier ” tab and in Column F (GREP prediction) of the “Data S4 in-vivo data ” tab, which are from another model not dis-cussed in this paper. Please see the corrected S1 File here. The authors confirm that all results and figures in the original work remain unaffected by this error and correspond to the updated supplementary data in this correction. Supporting Information S1 File. Supplementary data tables: In-vitro results. Excel table showing for each line the IC50, Amax, experimental sensitivity call, MAS5 gene expression value, 2-gene prediction, and GREPDR5 prediction for all genes used in the GREP model. All genes. Excel table showing dif-ferential analysis of all genes with DR5Nb1-tetra sensitivity calls. GREP model classifier. Excel table showing coefficients for ratios used in the GREPDR5 model. In-vivo data. Excel table showing for each primary tumor xenograft model, the T/C, sensitivity call, GREP prediction and gene expression for all genes used in the GREP model. (XLSX)
