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Computer scientist by training, I transitioned to computational biology driven by my passion to understand biological data. My research interest lies in the development of models from large datasets using data-driven or knowledge-driven methods. Precisely, my research topics are:

  • Inference of regulatory networks

  • Integration of data and networks

  • Sampling solution spaces

  • Experimental design

  • Machine learning

  • Model checking

  • Logic programming

  • Integration of omic datasets

Journal articles2 documents

  • Misbah Razzaq, Maria Jesus Iglesias, Manal Ibrahim-Kosta, Louisa Goumidi, Omar Soukarieh, et al.. An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism. Scientific Reports, Nature Publishing Group, 2021, 11 (1), pp.14015. ⟨10.1038/s41598-021-93390-7⟩. ⟨hal-03328648⟩
  • Misbah Razzaq, Loïc Paulevé, Anne Siegel, Julio Saez-Rodriguez, Jérémie Bourdon, et al.. Computational Discovery of Dynamic Cell Line Specific Boolean Networks from Multiplex Time-Course Data. PLoS Computational Biology, Public Library of Science, 2018, 14, pp.1-23. ⟨10.1371/journal.pcbi.1006538⟩. ⟨hal-01897020⟩

Conference papers2 documents

  • Misbah Razzaq, Louisa Goumidi, Maria Jesus Iglesias, Gaelle Munsch, Maria Bruzelius, et al.. Explainable Artificial Neural Network for Recurrent Venous Thromboembolism Based on Plasma Proteomics. Computational Methods in Systems Biology, Sep 2021, Bordeaux, France. pp.108-121. ⟨hal-03457887⟩
  • Hadrien Lorenzo, Razzaq Misbah, Jacob Odeber, Pierre-Emmanuel Morange, Jérôme Saracco, et al.. High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential. CBMS 2019 - 32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 2019, Cordoba, Spain. pp.453-458, ⟨10.1109/CBMS.2019.00094⟩. ⟨hal-02429302⟩

Book sections1 document

  • Misbah Razzaq, Lokmane Chebouba, Pierre Le Jeune, Hanen Mhamdi, Carito Guziolowski, et al.. Logic and Linear Programs to Understand Cancer Response. Liò P., Zuliani P. (eds) Automated Reasoning for Systems Biology and Medicine. Computational Biology, vol 30. Springer, Cham, pp.191-213, 2019, ⟨10.1007/978-3-030-17297-8_7⟩. ⟨hal-02467018⟩

Directions of work or proceedings1 document

  • Misbah Razzaq, Roland Kaminski, Javier Romero, Torsten Schaub, Jérémie Bourdon, et al.. Computing Diverse Boolean Networks from Phosphoproteomic Time Series Data. pp.59-74, 2018. ⟨hal-01988432⟩

Preprints, Working Papers, ...1 document

  • Misbah Razzaq, Lokmane Chebouba, Pierre Le Jeune, Hanen Mhamdi, Carito Guziolowski, et al.. Logic and Linear programs to understand cancer response. 2018. ⟨hal-01897036⟩

Theses1 document