The influence of missing value imputation on detection of differentially expressed genes from microarray data. - Ida Scheel; Magne Aldrin; Ingrid Kristine Glad; Ragnhild Sørum; Heidi Lyng; Arnoldo Frigessi (Bioinform., 2005)

Predicting survival from microarray data - a comparative study. - Hege M. Bøvelstad; Ståle Nygård; H. L. Størvold; Magne Aldrin; Ørnulf Borgan; Arnoldo Frigessi; Ole Christian Lingjærde (Bioinform., 2007)

On the simplified pair-copula construction - Simply useful or too simplistic? - Ingrid Hobæk Haff; Kjersti Aas; Arnoldo Frigessi (J. Multivar. Anal., 2010)

Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases. - Clelia Di Serio; Danilo Pellin; Alessandro Ambrosi; Ingrid Kristine Glad; Arnoldo Frigessi (CIBB, 2011)

Identifying elemental genomic track types and representing them uniformly. - Sveinung Gundersen; Matús Kalas; Osman Abul; Arnoldo Frigessi; Eivind Hovig; Geir Kjetil Sandve (BMC Bioinform., 2011)

Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in Breast Cancer. - Hiroko K. Solvang; Ole Christian Lingjærde; Arnoldo Frigessi; Anne-Lise Børresen-Dale; Vessela N. Kristensen (BMC Bioinform., 2011)

Estimated Comparative Integration Hotspots Identify Different Behaviors of Retroviral Gene Transfer Vectors. - Alessandro Ambrosi; Ingrid Kristine Glad; Danilo Pellin; Claudia Cattoglio; Fulvio Mavilio; Clelia Di Serio; Arnoldo Frigessi (PLoS Comput. Biol., 2011)

Markov Chains. - Arnoldo Frigessi; Bernd Heidergott (International Encyclopedia of Statistical Science, 2011)

The Genomic HyperBrowser: an analysis web server for genome-scale data. - Geir Kjetil Sandve; Sveinung Gundersen; Morten Johansen; Ingrid Kristine Glad; Krishanthi Gunathasan; Lars Holden; Marit Holden; Knut Liestøl; Ståle Nygård; Vegard Nygaard; Jonas Paulsen; Halfdan Rydbeck; et al. (Nucleic Acids Res., 2013)

Recommendation from Intransitive Pairwise Comparisons. - Elja Arjas; Arnoldo Frigessi; Valeria Vitelli; Marta Crispino (RecSys Posters, 2016)

Tilting the lasso by knowledge-based post-processing. - Kukatharmini Tharmaratnam; Matthew Sperrin; Thomas Jaki; Sjur Reppe; Arnoldo Frigessi (BMC Bioinform., 2016)

Structure learning in Bayesian Networks using regular vines. - Ingrid Hobæk Haff; Kjersti Aas; Arnoldo Frigessi; Virginia Lacal (Comput. Stat. Data Anal., 2016)

Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer. - Hiroko K. Solvang; Arnoldo Frigessi; Fateme Kaveh; Margit L. H. Riis; Torben Lüders; Ida R. K. Bukholm; Vessela N. Kristensen; Bettina K. Andreassen (EURASIP J. Bioinform. Syst. Biol., 2016)

Probabilistic preference learning with the Mallows rank model. - Valeria Vitelli; Øystein Sørensen; Marta Crispino; Arnoldo Frigessi; Elja Arjas (J. Mach. Learn. Res., 2017)

A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort. - David M. Swanson; Tonje Lien; Helga Bergholtz; Therese Sørlie; Arnoldo Frigessi (Bioinform., 2019)

Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model. - Qinghua Liu; Andrew Henry Reiner; Arnoldo Frigessi; Ida Scheel (Knowl. Based Syst., 2019)

A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions. - Solveig Engebretsen; Kenth Engø-Monsen; Arnoldo Frigessi; Birgitte Freiesleben de Blasio (PLoS Comput. Biol., 2019)

FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. - Simen Eide; David S. Leslie; Arnoldo Frigessi; Joakim Rishaug; Helge Jenssen; Sofie Verrewaere (RecSys, 2021)

FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research. - Simen Eide; Arnoldo Frigessi; Helge Jenssen; David S. Leslie; Joakim Rishaug; Sofie Verrewaere (CoRR, 2021)

Dynamic slate recommendation with gated recurrent units and Thompson sampling. - Simen Eide; David S. Leslie; Arnoldo Frigessi (Data Min. Knowl. Discov., 2022)

An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product. - Riccardo Parviero; Kristoffer H. Hellton; Ola Haug; Kenth Engø-Monsen; Hanne Rognebakke; Geoffrey Canright; Arnoldo Frigessi; Ida Scheel (Int. J. Inf. Manag. Data Insights, 2022)

Discovery of host-directed modulators of virus infection by probing the SARS-CoV-2-host protein-protein interaction network. - Vandana Ravindran; Jessica Wagoner; Paschalis Athanasiadis; Andreas B. Den Hartigh; Julia M. Sidorova; Aleksandr Ianevski; Susan L. Fink; Arnoldo Frigessi; Judith White; Stephen J. Polyak; Tero Aittokallio (Briefings Bioinform., 2022)

A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting. - Solveig Engebretsen; Alfonso Diz-Lois Palomares; Gunnar Rø; Anja Bråthen Kristoffersen; Jonas Christoffer Lindstrøm; Kenth Engø-Monsen; Meghana Kamineni; Louis Yat Hin Chan; Ørjan Dale; Jørgen Eriksson Midtbø; Kristian Lindalen Stenerud; Francesco Di Ruscio; et al. (PLoS Comput. Biol., 2023)

Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening data. - Chenyu Wu; Einar Bjarki Gunnarsson; Even Moa Myklebust; Alvaro Köhn-Luque; Dagim Shiferaw Tadele; Jorrit Martijn Enserink; Arnoldo Frigessi; Jasmine Foo; Kevin Leder (PLoS Comput. Biol., 2024)

Modeling geographic vaccination strategies for COVID-19 in Norway. - Louis Yat Hin Chan; Gunnar Rø; Jørgen Eriksson Midtbø; Francesco Di Ruscio; Sara Sofie Viksmoen Watle; Lene Kristine Juvet; Jasper Littmann; Preben Aavitsland; Karin Maria Nygård; Are Stuwitz Berg; Geir Bukholm; Anja Bråthen Kristoffersen; et al. (PLoS Comput. Biol., 2024)

TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility. - Elisabeth Griesbauer; Claudia Czado; Arnoldo Frigessi; Ingrid Hobæk Haff (AISTATS, 2025)

BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-task Large Language Models. - Simen Eide; Arnoldo Frigessi (NLDL, 2025)