Estimating cancer survival and clinical outcome based on genetic tumor progression scores

Motivation: In cancer research, prediction of time to death or relapse is important for a meaningful tumor classification and selecting appropriate therapies. Survival prognosis is typically based on clinical and histological parameters. There is increasing interest in identifying genetic markers th...

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Veröffentlicht in:	Bioinformatics 2005-05, Vol.21 (10), p.2438-2446
Hauptverfasser:	Rahnenführer, Jörg, Beerenwinkel, Niko, Schulz, Wolfgang A., Hartmann, Christian, von Deimling, Andreas, Wullich, Bernd, Lengauer, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Biomarkers, Tumor - analysis Chromosome Aberrations Clinical outcomes Diagnosis, Computer-Assisted - methods Disease Progression Fundamental and applied biological sciences. Psychology General aspects Genetic Markers - genetics Genetic Predisposition to Disease - genetics Genetic Testing - methods Genetics, Population - methods Humans Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Neoplasms - diagnosis Neoplasms - genetics Neoplasms - mortality Neoplasms - therapy Prognosis Proportional Hazards Models Risk Assessment - methods Risk Factors Survival Analysis Survival Rate Treatment Outcome
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