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International Journal of Cancer|June 25, 2009
Housekeeping genes in prostate tumorigenesisJinyoung Byun, Christopher J Logothetis, Ivan P GorlovCancer Genomics & Proteomics|May 18, 2012
In silico functional profiling of individual prostate cancer tumors: many genes, few functionsIvan P Gorlov, Jinyoung Byun, Christopher J LogothetisJournal of Bioinformatics and Computational Biology|July 20, 2012
Beyond comparing means: the usefulness of analyzing interindividual variation in gene expression for identifying genes associated with cancer developmentIvan P Gorlov, Jinyoung Byun, Hongya Zhao, et al.BMC Medical Genomics|August 6, 2009
Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression dataIvan P Gorlov, Jinyoung Byun, Olga Y Gorlova, et al.Computational and Mathematical Methods in Medicine|December 25, 2013
Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progressionHongya Zhao, Christopher J Logothetis, Ivan P Gorlov, et al.Plos One|November 21, 2012
Building a statistical model for predicting cancer genesIvan P Gorlov, Christopher J Logothetis, Shenying Fang, et al.Plos One|August 5, 2009
GWAS meets microarray: are the results of genome-wide association studies and gene-expression profiling consistent? Prostate cancer as an exampleIvan P Gorlov, Gary E Gallick, Olga Y Gorlova, et al.BMC Genomics|October 18, 2017
Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructureJinyoung Byun, Younghun Han, Ivan P Gorlov, et al.BMC Genomics|March 25, 2014
How to get the most from microarray data: advice from reverse genomicsIvan P Gorlov, Ji-Yeon Yang, Jinyoung Byun, et al.BMC Medical Genomics|November 19, 2015
Prediction of the gene expression in normal lung tissue by the gene expression in bloodJustin W Halloran, Dakai Zhu, David C Qian, et al.Pageof 37