Gene set analysis: limitations in popular existing methods and proposed improvements. - Pashupati P. Mishra; Petri Törönen; Yrjö Leino; Liisa Holm (Bioinform., 2014)

Robust multi-group gene set analysis with few replicates. - Pashupati P. Mishra; Alan Medlar; Liisa Holm; Petri Törönen (BMC 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)

Efficient gene set analysis of high-throughput data: From omics to pathway architecture of health and disease. - Pashupati P. Mishra (2020)

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)

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)