Prognostic prediction following radical prostatectomy for prostate cancer using conventional as well as molecular biological approaches.
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Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables.miR-1 and miR-133b are differentially expressed in patients with recurrent prostate cancer.Senescent remodeling of the innate and adaptive immune system in the elderly men with prostate cancer.Molecular markers to guide primary radical treatment selection in localized prostate cancer.Association of tissue mRNA and serum antigen levels of members of the urokinase-type plasminogen activator system with clinical and prognostic parameters in prostate cancer.Genome-wide detection of allelic genetic variation to predict biochemical recurrence after radical prostatectomy among prostate cancer patients using an exome SNP chip.Risk prediction models for biochemical recurrence after radical prostatectomy using prostate-specific antigen and Gleason scoreThe prostate health index PHI predicts oncological outcome and biochemical recurrence after radical prostatectomy - analysis in 437 patients.
P2860
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P2860
Prognostic prediction following radical prostatectomy for prostate cancer using conventional as well as molecular biological approaches.
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article científic
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article scientifique
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artikel ilmiah
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artículo científico
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name
Prognostic prediction followin ...... lecular biological approaches.
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type
label
Prognostic prediction followin ...... lecular biological approaches.
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prefLabel
Prognostic prediction followin ...... lecular biological approaches.
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P2860
P1476
Prognostic prediction followin ...... lecular biological approaches.
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P2093
Hideaki Miyake
Masato Fujisawa
P2860
P304
P356
10.1111/J.1442-2042.2012.03175.X
P577
2012-09-30T00:00:00Z