analysis of normal-tumour tissue interaction in tumours prediction of prostate cancer features from the molecular profile of adjacent normal cellsnormal-tumour组织互动的分析预测前列腺癌的肿瘤分子相邻的正常细胞的功能.pdfVIP

analysis of normal-tumour tissue interaction in tumours prediction of prostate cancer features from the molecular profile of adjacent normal cellsnormal-tumour组织互动的分析预测前列腺癌的肿瘤分子相邻的正常细胞的功能.pdf

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analysis of normal-tumour tissue interaction in tumours prediction of prostate cancer features from the molecular profile of adjacent normal cellsnormal-tumour组织互动的分析预测前列腺癌的肿瘤分子相邻的正常细胞的功能

Analysis of Normal-Tumour Tissue Interaction in Tumours: Prediction of Prostate Cancer Features from the Molecular Profile of Adjacent Normal Cells 1,6 2 3 4 1 Victor Trevino , Mahlet G. Tadesse , Marina Vannucci , Fatima Al-Shahrour , Philipp Antczak , Sarah 1 8,9 4 5,7 1 Durant , Andreas Bikfalvi , Joaquin Dopazo , Moray J. Campbell , Francesco Falciani * 1 School of Biosciences and IBR, University of Birmingham, Edgbaston, United Kingdom, 2 Department of Epidemiology Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America, 3 Rice University, Houston, Texas, United States of America, 4 Bioinformatics Department, Centro de ´ ´ Investigacion Prıncipe Felipe, Valencia, Spain, 5 Institute of Biomedical Research, School of Medicine, The Birmingham University, Birmingham, United Kingdom, ´ 6 Computer Science Department Biomedical Engineering Program, Instituto Tecnologico y de Estudios Superiores de Monterrey, Nuevo Leon, Mexico, 7 Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, New York, United States of America, 8 INSERM U920, Talence, France, 9 University Bordeaux I, Talence, France Abstract Statistical modelling, in combination with genome-wide expression profiling techniques, has demonstrated that the molecular state of the tumour is sufficient to infer its pathological state. Thes

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