Author

Jan A. Hillert

Karolinska InstitutetORCID 0000-0002-7386-6732Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Adam SantanielloiD· 1 shared An GorisiD· 1 shared Anne Haney CrossiD· 1 shared Anne SpurklandiD· 1 shared Antonios BayasiD· 1 shared Ashley Harris BeechamiD· 1 shared Benedicte A. LieiD· 1 shared Bénédicte DuboisiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Adam SantanielloORCID

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2 papers

Recent·Most cited

A topological data analysis based classification method for multiple measurement

Henri Riihimäki, Wojciech Chachólski, Jakob Theorell, Jan A. Hillert, Ryan Ramanujam

This paper introduces a topological data analysis classifier for repeated measurements, achieving high accuracy in two case studies and demonstrating its utility as a feature selection tool.

BMC Bioinformatics · Jul 29, 2020Peer-reviewedBioinformatics

Low frequency and rare coding variation contributes to multiple sclerosis risk

Mitja Mitrovič, Nikolaos A. Patsopoulos, Ashley Harris Beecham, Theresa Dankowski, An Goris, Bénédicte Dubois, Marie Beatrice D'hooghe, Robin Lemmens, Philip Van Damme, Helle Bach Søndergaard, Finn Thorup Sellebjerg, Per Soelberg Sørensen, Henrik Ullum, Lise Wegner Thørner, Thomas Mears Werge, , Hakon H. Hakonarson

The paper identifies low-frequency coding variants contributing to multiple sclerosis risk using a large case-control study.

Cell · Oct 18, 2018Peer-reviewedGenetics