Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression. - Pekka Marttinen; Matti Pirinen; Antti-Pekka Sarin; Jussi Gillberg; Johannes Kettunen; Ida Surakka; Antti J. Kangas; Pasi Soininen; Paul F. O'Reilly; Marika Kaakinen; Mika Kähönen; Terho Lehtimäki; et al. (Bioinform., 2014)

metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis. - Anna Cichonska; Juho Rousu; Pekka Marttinen; Antti J. Kangas; Pasi Soininen; Terho Lehtimäki; Olli T. Raitakari; Marjo-Riitta Järvelin; Veikko Salomaa; Mika Ala-Korpela; Samuli Ripatti; Matti Pirinen (Bioinform., 2016)

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. - Alena Orlenko; Daniel Kofink; Leo-Pekka Lyytikäinen; Kjell Nikus; Pashupati P. Mishra; Pekka Kuukasjärvi; Pekka J. Karhunen; Mika Kähönen; Jari O. Laurikka; Terho Lehtimäki; Folkert W. Asselbergs; Jason H. Moore (Bioinform., 2020)

A structural variation reference for medical and population genetics. - Ryan L. Collins; Harrison Brand; Konrad J. Karczewski; Xuefang Zhao; Jessica Alföldi; Laurent C. Francioli; Amit V. Khera; Chelsea Lowther; Laura D. Gauthier; Harold Wang; Nicholas A. Watts; Matthew Solomonson; et al. (Nat., 2020)

A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. - Vasileios C. Pezoulas; Antonis I. Sakellarios; Marcus E. Kleber; Jos A. Bosch; Sander W. Van der Laan; Femke Lamers; Terho Lehtimäki; Winfried März; Dimitrios I. Fotiadis (BHI, 2021)

Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm. - Vasileios C. Pezoulas; Pashupati P. Mishra; Olli T. Raitakari; Mika Kähönen; Terho Lehtimäki; Dimitrios I. Fotiadis; Antonis I. Sakellarios (BHI, 2022)

Comparing the Efficacy of Electrocardiographic Leads in Recovery Phase in Detecting Coronary Artery Disease in Women. - Serkalem D. Beyene; Kjell Nikus; Terho Lehtimäki; Mika Kähönen; Jari Viik (CinC, 2022)

Effects of Beta Blocker Therapy on RR Interval Correlations During Exercise. - Teemu Pukkila; Matti Molkkari; Matias Kanniainen; Jussi Hernesniemi; Kjell Nikus; Leo-Pekka Lyytikäinen; Terho Lehtimäki; Jari Viik; Mika Kähönen; Esa Räsänen (CinC, 2023)

Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. - Nicholas Matsumoto; Anil Kumar Saini; Pedro Henrique Ribeiro; Hyunjun Choi; Alena Orlenko; Leo-Pekka Lyytikäinen; Jari O. Laurikka; Terho Lehtimäki; Sandra Batista; Jason H. Moore (EuroGP, 2023)

Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection. - Jie Li; Cillian Hourican; Pashupati P. Mishra; Binisha H. Mishra; Mika Kähönen; Olli T. Raitakari; Reijo Laaksonen; Mika Ala-Korpela; Liisa Keltikangas-Järvinen; Markus Juonala; Terho Lehtimäki; Jos A. Bosch; et al. (CoRR, 2024)

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data. - Gabin Drouard; Juha Mykkänen; Jarkko Heiskanen; Joona Pohjonen; Saku Ruohonen; Katja Pahkala; Terho Lehtimäki; Xiaoling Wang; Miina Ollikainen; Samuli Ripatti; Matti Pirinen; Olli T. Raitakari; et al. (BMC Medical Informatics Decis. Mak., 2024)