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Mining Human Prostate Cancer Datasets
Core CRUK funding: MD, AGL, ADL.
Academy of Medical Sciences Clinical Lecturer Starter Grant SGCL11 (prinicipal funder of this work): ADL.
Integration of copy number and transcriptomics provides risk stratification in prostate cancer
H Ross-Adams, AD Lamb, MJ Dunning, S Halim, J Lindberg, CM Massie, LA Egevad, R Russell, A Ramos-Montoya, SL Vowler, NL Sharma, J Kay, H Whitaker, J Clark, R Hurst, VJ Gnanapragasam, NC Shah, AY Warren, CS Cooper, AG Lynch, R Stark, IG Mills, H Grönberg, DE Neal, CamCaP Study Group
Jul 21, 2015
Biochemical relapse Gene signature Genomics Personalised medicine Prognosis prostate cancer Risk stratification Adult Aged Aged 80 and over Cluster Analysis Cohort Studies Gene Dosage Gene Expression Profiling Gene Expression Regulation Neoplastic Genome Human Humans Male Middle Aged Prognosis Prostatic Neoplasms RNA Messenger Recurrence Reproducibility of Results Risk Factors Transcriptome