Co-Authors
This is a "connection" page, showing publications co-authored by CHRISTOPHER J LOGOTHETIS and IVAN GORLOV.
Connection Strength
2.183
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In silico functional profiling of individual prostate cancer tumors: many genes, few functions. Cancer Genomics Proteomics. 2012 May-Jun; 9(3):109-14.
Score: 0.419
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Prioritizing genes associated with prostate cancer development. BMC Cancer. 2010 Nov 02; 10:599.
Score: 0.378
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GWAS meets microarray: are the results of genome-wide association studies and gene-expression profiling consistent? Prostate cancer as an example. PLoS One. 2009 Aug 04; 4(8):e6511.
Score: 0.346
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Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data. BMC Med Genomics. 2009 Aug 04; 2:48.
Score: 0.346
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How to get the most from microarray data: advice from reverse genomics. BMC Genomics. 2014 Mar 21; 15:223.
Score: 0.119
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Genes with a large intronic burden show greater evolutionary conservation on the protein level. BMC Evol Biol. 2014 Mar 16; 14(1):50.
Score: 0.119
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Building a statistical model for predicting cancer genes. PLoS One. 2012; 7(11):e49175.
Score: 0.109
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Beyond comparing means: the usefulness of analyzing interindividual variation in gene expression for identifying genes associated with cancer development. J Bioinform Comput Biol. 2012 Apr; 10(2):1241013.
Score: 0.104
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Usefulness of the top-scoring pairs of genes for prediction of prostate cancer progression. Prostate Cancer Prostatic Dis. 2010 Sep; 13(3):252-9.
Score: 0.091
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Housekeeping genes in prostate tumorigenesis. Int J Cancer. 2009 Dec 01; 125(11):2603-8.
Score: 0.089
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Tissue Effects in a Randomized Controlled Trial of Short-term Finasteride in Early Prostate Cancer. EBioMedicine. 2016 May; 7:85-93.
Score: 0.034
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Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. Comput Math Methods Med. 2013; 2013:917502.
Score: 0.029