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Journal of Biomedical Informatics|July 6, 2005
New probabilistic graphical models for genetic regulatory networks studiesJunbai Wang, Leo Wang-Kit Cheung, Jan DelabieFrontiers in Genetics|April 20, 2019
BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient CohortsKirill Batmanov, Jan Delabie, Junbai WangComputational and Structural Biotechnology Journal|May 2, 2022
Integrating whole genome sequencing, methylation, gene expression, topological associated domain information in regulatory mutation prediction: A study of follicular lymphomaAmna Farooq, Gunhild Trøen, Jan Delabie, et al.Methods in Molecular Biology (Clifton, N.J.)|December 2, 2011
Classification approaches for microarray gene expression data analysisLeo Wang-Kit CheungJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 10, 2004
Use of runs statistics for pattern recognition in genomic DNA sequencesLeo Wang-Kit CheungScientific Reports|August 3, 2017
Integrative whole-genome sequence analysis reveals roles of regulatory mutations in BCL6 and BCL2 in follicular lymphomaKirill Batmanov, Wei Wang, Magnar Bjørås, et al.BMC Bioinformatics|November 26, 2002
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma studyJunbai Wang, Jan Delabie, Hans Aasheim, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 1, 2010
Multiclass kernel-imbedded Gaussian processes for microarray data analysisXin Zhao, Leo Wang-Kit CheungBMC Bioinformatics|March 3, 2007
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression dataXin Zhao, Leo Wang-Kit CheungThe American Journal of Pathology|January 28, 2003
Splenic marginal zone lymphoma with villous lymphocytes shows on-going immunoglobulin gene mutationsAnne Tierens, Jan Delabie, Agnieszka Malecka, et al.Pageof 23