Data integration and visualization system for enabling conceptual biology. - Peddinti V. Gopalacharyulu; Erno Lindfors; Catherine Bounsaythip; Teemu Kivioja; Laxman Yetukuri; Jaakko Hollmén; Matej Oresic (ISMB (Supplement of Bioinformatics), 2005)

Exploring the lipoprotein composition using Bayesian regression on serum lipidomic profiles. - Marko Sysi-Aho; Aki Vehtari; Vidya R. Velagapudi; Jukka Westerbacka; Laxman Yetukuri; Robert Bergholm; Marja-Riitta Taskinen; Hannele Yki-Järvinen; Matej Oresic (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Normalization method for metabolomics data using optimal selection of multiple internal standards. - Marko Sysi-Aho; Mikko Katajamaa; Laxman Yetukuri; Matej Oresic (BMC Bioinform., 2007)

Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis. - Laxman Yetukuri; Mikko Katajamaa; Gema Medina-Gómez; Tuulikki Seppänen-Laakso; Antonio Vidal-Puig; Matej Oresic (BMC Syst. Biol., 2007)

Metabolic Regulation in Progression to Autoimmune Diabetes. - Marko Sysi-Aho; Andrey Ermolov; Peddinti V. Gopalacharyulu; Abhishek Tripathi; Tuulikki Seppänen-Laakso; Johanna Maukonen; Ismo Mattila; Suvi T. Ruohonen; Laura Vähätalo; Laxman Yetukuri; Taina Härkönen; Erno Lindfors; et al. (PLoS Comput. Biol., 2011)

Machine Learning-Boosted Docking Enables the Efficient Structure-Based Virtual Screening of Giga-Scale Enumerated Chemical Libraries. - Toni Sivula; Laxman Yetukuri; Tuomo Kalliokoski; Heikki Käsnänen; Antti Poso; Ina Pöhner (J. Chem. Inf. Model., 2023)