| Proteomics versus clinical data and stochastic local search based feature selection for acute myeloid leukemia patients’ classification L Chebouba, D Boughaci, C Guziolowski Journal of medical systems 42, 1-8, 2018 | 11 | 2018 |
| Discriminate the response of Acute Myeloid Leukemia patients to treatment by using proteomics data and Answer Set Programming L Chebouba, B Miannay, D Boughaci, C Guziolowski BMC bioinformatics 19, 15-26, 2018 | 9 | 2018 |
| A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma M Folschette, V Legagneux, A Poret, L Chebouba, C Guziolowski, ... BMC bioinformatics 21, 1-14, 2020 | 5 | 2020 |
| Boolean Network Models of Human Preimplantation Development M Bolteau, L Chebouba, L David, J Bourdon, C Guziolowski | | 2024 |
| Hepatocellular carcinoma computational models identify key protein-complexes associated to tumor progression M Folschette, V Legagneux, A Poret, C Guziolowski, N Théret | | 2019 |
| Une approche d'optimisation pour l'Answer Set Programming" application en médecine personnalisée" L Chebouba | | 2019 |
| Logic and Linear Programs to Understand Cancer Response M Razzaq, L Chebouba, P Le Jeune, H Mhamdi, C Guziolowski, ... Automated Reasoning for Systems Biology and Medicine, 191-213, 2019 | | 2019 |
| A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma—Supplementary Material M Folschette, V Legagneux, A Poret, L Chebouba, C Guziolowski, ... | | |
| Différenciation des réponses des malades aux traitements, en utilisant le Answer Set Programming et les données protéomiques L Chebouba, D Boughaci, C Guziolowski JFPC 2018, 47, 0 | | |
