Gene Selection for Predicting Survival Outcomes of Cancer Patients in Microarray Studies. - Qihua Tan; Mads Thomassen; Kirsten M. Jochumsen; Ole Mogensen; Kaare Christensen; Torben Arvid Kruse (SCSS (1), 2007)

Evolutionary Algorithm for Feature Subset Selection in Predicting Tumor Outcomes Using Microarray Data. - Qihua Tan; Mads Thomassen; Kirsten M. Jochumsen; Jing Hua Zhao; Kaare Christensen; Torben Arvid Kruse (ISBRA, 2008)

A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals. - Qihua Tan; Mads Thomassen; Kirsten M. Jochumsen; Ole Mogensen; Kaare Christensen; Torben Arvid Kruse (Adv. Bioinformatics, 2009)

A Growth Curve Model with Fractional Polynomials for Analysing Incomplete Time-Course Data in Microarray Gene Expression Studies. - Qihua Tan; Mads Thomassen; Jacob v. B. Hjelmborg; Anders Clemmensen; Klaus Ejner Andersen; Thomas K. Petersen; Matthew McGue; Kaare Christensen; Torben Arvid Kruse (Adv. Bioinformatics, 2011)

Latent growth curve modeling of incomplete timecourse data in microarray gene expression studies. - Qihua Tan; Mads Thomassen; Torben Arvid Kruse (CIBCB, 2012)

Microarray R-based analysis of complex lysate experiments with MIRACLE. - Markus List; Ines Block; Marlene Lemvig Pedersen; Helle Christiansen; Steffen Schmidt; Mads Thomassen; Qihua Tan; Jan Baumbach; Jan Mollenhauer (Bioinform., 2014)

Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data. - Qihua Tan; Mads Thomassen; Mark Burton; Kristian Fredløv Mose; Klaus Ejner Andersen; Jacob v. B. Hjelmborg; Torben Arvid Kruse (J. Integr. Bioinform., 2017)