105 search results - page 3 / 21 » Additive risk survival model with microarray data |
BMCBI
2004
13 years 5 months ago
2004
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
CSB
2004
IEEE
13 years 9 months ago
2004
IEEE
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...
ESANN
2008
13 years 7 months ago
2008
This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
BMCBI
2007
13 years 6 months ago
2007
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
CSDA
2010
13 years 6 months ago
2010
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...