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Bioinformatics (Oxford, England)|February 9, 2018
Principal metabolic flux mode analysisSahely Bhadra, Peter Blomberg, Sandra Castillo, et al.Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
Analysis of Fluxomic Experiments with Principal Metabolic Flux Mode AnalysisSahely Bhadra, Juho RousuJournal of Cheminformatics|April 22, 2024
Learning symmetry-aware atom mapping in chemical reactions through deep graph matchingMaryam Astero, Juho RousuPlos One|September 9, 2024
Stable biomarker discovery in multi-omics data via canonical correlation analysisTaneli Pusa, Juho RousuCurrent Opinion in Structural Biology|May 5, 2024
New methods for drug synergy prediction: A mini-reviewFatemeh Abbasi, Juho RousuNature Communications|July 18, 2025
Comprehensive interaction modeling with machine learning improves prediction of disease risk in the UK BiobankHeli Julkunen, Juho RousuPlos One|July 22, 2016
Machine Learning of Protein Interactions in Fungal Secretory PathwaysJana Kludas, Mikko Arvas, Sandra Castillo, et al.Expert Opinion on Drug Discovery|October 3, 2015
Identification of drug candidates and repurposing opportunities through compound-target interaction networksAnna Cichonska, Juho Rousu, Tero AittokallioBioinformatics (Oxford, England)|September 13, 2024
Chemical reaction enhanced graph learning for molecule representationAnchen Li, Elena Casiraghi, Juho RousuBMC Systems Biology|October 31, 2009
Inferring branching pathways in genome-scale metabolic networksEsa Pitkänen, Paula Jouhten, Juho RousuPageof 11