- Artificial Intelligence and Bioinformatics J. Nicolas A Guided Tour of Artificial Intelligence Research, III, Springer, Eds Marquis, P., Papini, O., Prade, H., pp.575, 2020, Interfaces and Applications of Artificial Intelligence, 978-3-030-06169-2
- Inferring Biochemical Reactions and Metabolite Structures to Understand Metabolic Pathway Drift A. Belcour, J. Girard, M. Aite, L. Delage, C. Trottier, C. Marteau, C. J-J Leroux, S. Dittami, P. Sauleau, E. Corre, J. Nicolas, C. Boyen, C. Leblanc, J. Collén, A. Siegel, G. V Markov iScience, Elsevier, 2020, 23 (2), pp.100849. ⟨10.1016/j.isci.2020.100849⟩.
- Formalizing and enriching phenotype signatures using Boolean networks M. Wery, O. Dameron, J. Nicolas, E. Rémy, A. Siegel Journ. of Theoretical Biology, Elsevier, 2019, 467, pp.66-79. ⟨10.1016/j.jtbi.2019.01.015⟩
- Concept Lattices as a Search Space for Graph Compression L. Bourneuf, J. Nicolas ICFCA 2019 – 15th Int. Conf. on Formal Concept Analysis, Jun 2019, Francfort, Germany. pp.274-289, ⟨10.1007/978-3-030-21462-3_18⟩
- De Novo Clustering of Long Reads by Gene from Transcriptomics Data
C. Marchet, L. Lecompte, C. Da Silva, C. Cruaud, J.-M. Aury, J. Nicolas, P. Peterlongo
Nucleic Acids Research, Oxford University Press, 2018, pp.1-13. https://doi.org/10.1093/nar/gky834