Publications and communications of Diane Duroux

Kumari, P., Van Laethem, T., Duroux, D., Fillet, M., Hubert, P., Sacre, P.-Y., & Hubert, C. (04 September 2023). A multi-target QSRR approach to model retention times of small molecules in RPLC. Journal of Pharmaceutical and Biomedical Analysis, 236, 115690. doi:10.1016/j.jpba.2023.115690

Duroux, D., & Van Steen, K. (19 March 2023). netANOVA: novel graph clustering technique with significance assessment via hierarchical ANOVA. Briefings in Bioinformatics, 24 (2). doi:10.1093/bib/bbad029

Riemens, R. J. M., Kenis, G., Nolz, J., Susano Chaves, S. C., Duroux, D., Pishva, E., Mastroeni, D., Van Steen, K., Haaf, T., & van den Hove, D. L. A. (08 December 2022). Targeted Methylation Profiling of Single Laser-Capture Microdissected Post-Mortem Brain Cells by Adapted Limiting Dilution Bisulfite Pyrosequencing (LDBSP). International Journal of Molecular Sciences, 23 (24), 15571. doi:10.3390/ijms232415571

Duroux, D. (2022). Heterogeneity between networks in systems biomedicine: detection and remediation [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/293581

Duroux, D., Climente-González, H., Azencott, C.-A., & Van Steen, K. (2022). Interpretable network-guided epistasis detection. GigaScience, 11. doi:10.1093/gigascience/giab093

Walakira, A., Ocira, J., Duroux, D., Fouladi, R., Moškon, M., Rozman, D., & Van Steen, K. (2022). Detecting gene–gene interactions from GWAS using diffusion kernel principal components. BMC Bioinformatics, 23 (1), 1-18. doi:10.1186/s12859-022-04580-7

Duroux, D., Van Steen, K., & Federico Melograna. (22 July 2021). Patient heterogeneity assessments via network-based ANOVA [Poster presentation]. 42nd Conference of the International Society for Clinical Biostatistics (ISCB).

Abegaz, F., Van Lishout, F., John, J. M. M., Chiachoompu, K., Bhardwaj, A., Duroux, D., Gusareva, E. S., Wei, Z., Hakonarson, H., & Van Steen, K. (2021). Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure. BioData Mining, 14 (1), 1-20. doi:10.1186/s13040-021-00247-w

Riemens, R. J., Kenis, G., Nolz, J., Chaves, S. C. S., Duroux, D., Pishva, E., Mastroeni, D., Van Steen, K., Haaf, T., & van den Hove, D. L. (2021). Targeted methylation profiling of single laser-capture microdissected post-mortem brain cells by adapted limiting dilution bisulfite pyrosequencing (LDBSP). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/292194.

Duroux, D., Climente-González, H., Wienbrandt, L., Van Steen, K., Maglogiannis, I., Iliadis, L., & Pimenidis, E. (2020). Network Aggregation to Enhance Results Derived from Multiple Analytics. In Artificial Intelligence Applications and Innovations. Springer International Publishing. doi:10.1007/978-3-030-49161-1_12

Duroux, D.* , Héctor Climente-González* , Camargo Fernandez Baca, A., Lars Wienbrandt, David Ellinghaus, Chloe-Agathe Azencott, & Van Steen, K. (14 October 2019). Improving efficiency in epistasis detection with a gene-based analysis using functional filters [Poster presentation]. IGES.
* These authors have contributed equally to this work.