IVAN GORLOV to Prostatic Neoplasms
This is a "connection" page, showing publications IVAN GORLOV has written about Prostatic Neoplasms.
Connection Strength
1.470
-
Building a statistical model for predicting cancer genes. PLoS One. 2012; 7(11):e49175.
Score: 0.217
-
In silico functional profiling of individual prostate cancer tumors: many genes, few functions. Cancer Genomics Proteomics. 2012 May-Jun; 9(3):109-14.
Score: 0.209
-
Prioritizing genes associated with prostate cancer development. BMC Cancer. 2010 Nov 02; 10:599.
Score: 0.189
-
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: 0.182
-
Housekeeping genes in prostate tumorigenesis. Int J Cancer. 2009 Dec 01; 125(11):2603-8.
Score: 0.177
-
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: 0.173
-
Downstream targets of GWAS-detected genes for breast, lung, and prostate and colon cancer converge to G1/S transition pathway. Hum Mol Genet. 2017 04 15; 26(8):1465-1471.
Score: 0.074
-
Is age an independent risk factor for medical complications following minimally invasive radical prostatectomy? An evaluation of contemporary American College of Surgeons National Surgical Quality Improvement (ACS-NSQIP) data. J Robot Surg. 2016 Dec; 10(4):343-346.
Score: 0.070
-
Tissue Effects in a Randomized Controlled Trial of Short-term Finasteride in Early Prostate Cancer. EBioMedicine. 2016 May; 7:85-93.
Score: 0.069
-
Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. Comput Math Methods Med. 2013; 2013:917502.
Score: 0.058
-
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: 0.052