Iryna Nikolayeva
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Network-based analysis of omics data: the LEAN method
F Gwinner, G Boulday, C Vandiedonck, M Arnould, C Cardoso, ...
Bioinformatics 33 (5), 701-709, 2017
Network module identification—A widespread theoretical bias and best practices
I Nikolayeva, OG Pla, B Schwikowski
Methods 132, 19-25, 2018
A blood RNA signature detecting severe disease in young dengue patients at hospital arrival
I Nikolayeva, P Bost, I Casademont, V Duong, F Koeth, M Prot, ...
The Journal of infectious diseases 217 (11), 1690-1698, 2018
Does an e-mail reminder intervention with learning analytics reduce procrastination in a blended university course?
I Nikolayeva, A Yessad, B Laforge, V Luengo
European Conference on Technology Enhanced Learning, 60-73, 2020
How to Help Teachers Adapt to Learners? Teachers’ Perspective on a Competency and Error-Type Centered Dashboard.
I Nikolayeva, B Martin, A Yessad, F Chenevotot, J Pilet, D Prévit, ...
Lifelong Technology-Enhanced Learning. EC-TEL 2018 11082, 596-599, 2018
Filter-free exhaustive odds ratio-based genome-wide interaction approach pinpoints evidence for interaction in the HLA region in psoriasis
L Grange, JF Bureau, I Nikolayeva, R Paul, K Van Steen, B Schwikowski, ...
BMC genetics 16 (1), 1-13, 2015
How to help teachers adapt to learners? Teachers' perspective on a competency and error-type centered dashboard for algebra
I Nikolayeva, A Yessad, M Thuet, F Chenevotot, J Pilet, D Prévit, ...
TEL-STEM Workshop at ECTEL 2018, 2018
Network and machine learning approaches to dengue omics data
I Nikolayeva
Sorbonne Paris Cité, 2017
Simple enough biomarkers predict a complex disease phenotype
I Nikolayeva, K Bleakley, A Sakuntabhai, B Schwikowski
F1000Research 5, 2016
The GoldenBricks assembly: A standardized one-shot cloning technique for complete cassette assembly
C Pauthenier, H El-Sayyed, W Rostain, T Cerisy, CG Lopez, R Ferreira, ...
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