Andrea Ganna

According to our database, Andrea Ganna authored at least 8 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Large language models improve transferability of electronic health record-based predictions across countries and coding systems.

Matthias Kirchler, Matteo Ferro, Veronica Lorenzini, Robin Van De Water, FinnGen, Christoph Lippert, Andrea Ganna

npj Digit. Medicine, 2026

2025

Comparison of Cardiovascular Disease Trajectories: A France vs Nordic countries' perspective under the HealthData@EU EHDS project.

Gayo Diallo, Arti Rawat, Anna-Leena Vuorinen, Rachel B. Forster, Adrian G. Zucco, Tibor V. Varga, Andrea Ganna

Proceedings of the 16th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2025), 2025

2024

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model.

Hans Moen, Vishnu Raj, Andrius Vabalas, Markus Perola, Samuel Kaski, Andrea Ganna, Pekka Marttinen

CoRR, 2024

2023

HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.

Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna

Bioinform., September, 2023

Characterizing personalized effects of family information on disease risk using graph representation learning.

Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski

Proceedings of the Machine Learning for Healthcare Conference, 2023

2019

Variant Score Ranker - a web application for intuitive missense variant prioritization.

Juanjiangmeng Du, Monica Sudarsanam, Eduardo Pérez-Palma, Andrea Ganna, Laurent C. Francioli, Sumaiya Iqbal, Lisa-Marie Niestroj, Costin Leu, Ben Weisburd, Timothy Poterba, Peter Nürnberg, Mark J. Daly, Aarno Palotie, Patrick May, Dennis Lal

Bioinform., 2019

2017

The impact of rare variation on gene expression across tissues.

Xin Li, Yungil Kim, Emily K. Tsang, Joe R. Davis, Farhan N. Damani, Colby Chiang, Gaelen T. Hess, Zachary Zappala, Benjamin J. Strober, Alexandra J. Scott, Amy Li, Andrea Ganna, Michael C. Bassik, Jason D. Merker, François Aguet, Kristin G. Ardlie, Beryl B. Cummings, Ellen T. Gelfand, Gad Getz, Kane Hadley, Robert E. Handsaker, Katherine H. Huang, Seva Kashin, Konrad J. Karczewski, Monkol Lek, Xiao Li, Daniel G. MacArthur, Jared L. Nedzel, Duyen T. Nguyen, Michael S. Noble, Ayellet V. Segrè, Casandra A. Trowbridge, Taru Tukiainen, Nathan S. Abell, Brunilda Balliu, Ruth Barshir, Omer Basha, Alexis J. Battle, Gireesh K. Bogu, Andrew Brown, Christopher D. Brown, Stephane E. Castel, Lin S. Chen, Donald F. Conrad, Nancy J. Cox, Olivier Delaneau, Emmanouil T. Dermitzakis, Barbara E. Engelhardt, Eleazar Eskin, Pedro G. Ferreira, Laure Frésard, Eric R. Gamazon, Diego Garrido-Martín, Ariel D. H. Gewirtz, Genna Gliner, Michael J. Gloudemans, Roderic Guigó, Ira M. Hall, Buhm Han, Yuan He, Farhad Hormozdiari, Cedric Howald, Hae Kyung Im, Brian Jo, Eun Yong Kang, Sarah Kim-Hellmuth, Tuuli Lappalainen, Gen Li, Boxiang Liu, Serghei Mangul, Mark I. McCarthy, Ian C. McDowell, Pejman Mohammadi, Jean Monlong, Stephen B. Montgomery

Nat., 2017

2015

Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies.

Andrea Ganna, Donghwan Lee, Erik Ingelsson, Yudi Pawitan

Briefings Bioinform., 2015