Setia Pramana

Post doc

Work:
+46-8-524 83948
E-mail:

Education

- 2007-2011 PhD, Hasselt University, Belgium

- 2006-2007 MSc in Biostatistics, Hasselt University, Belgium

- 2005-2007 MSc in Applied Statistics, Hasselt University, Belgium

- 1995-1999 BSc in Statistics, Brawijaya University, Indonesia

Research

Projects on statistical methods for high-throughput data analyses particularly in Next Generation Sequencing (RNA-seq, Exome-seq), and RNA microarray expression studies in cancer and cardiovascular diseases, Network enrichment analysis and R-GUI developments.

Selected publications

Pramana S, Lin D, Haldermans P, Shkedy Z, Verbeke T, De Bondt A, Talloen W, Göehlmann H, Bijnens L. IsoGene: An R Package for Analyzing Dose-response Studies in Microarray Experiments, R Journal 2/1

Pramana S, Shkedy Z, Göehlmann HW, Talloen W, De Bondt A, Straetemans R, Lin D, Pinheiro J. (2012). Model-based Parametric Approaches, in Lin, D., Shkedy, Z., Yekutieli, D., Amaratunga, D. and Bijnens L. (ed). Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R, Springer.

Pramana, S., Lin, D., Haldermans P., Verbeke, T (2012) . A User Friendly Interface for Analyzing Dose-response Studies in Microarray Experiments: The IsoGene-GUI package, in Lin, D., Shkedy, Z., Yekutieli, D., Amaratunga, D. and Bijnens L. (ed). Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R, Springer.

Last modified by: Gunilla Sonnebring 2013-02-11