misbah Razzaq

14
Documents

Presentation

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

Publications

Publications

Image document

Explaining artificial neural networks using answer set programming

Roland Kaminski , Torsten Schaub , Javier Romero , Misbah Razzaq
Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI), ECML/PKDD 2024, Sep 2024, Vilnuis, Lithuania
Conference papers hal-04733146 v1

Explainable Artificial Neural Network for Recurrent Venous Thromboembolism Based on Plasma Proteomics

Misbah Razzaq , Louisa Goumidi , Maria Jesus Iglesias , Gaelle Munsch , Maria Bruzelius et al.
Computational Methods in Systems Biology, Sep 2021, Bordeaux, France. pp.108-121
Conference papers hal-03457887 v1

Explainable Artificial Neural Network for Recurrent Venous Thromboembolism Based on Plasma Proteomics

Misbah Razzaq , Louisa Goumidi , Maria Jesus Iglesias , Gaelle Munsch , Maria Bruzelius et al.
International conference on computational methods in systems biology, Sep 2021, Bordeaux, France. pp.108-121, ⟨10.1007/978-3-030-85633-5_7⟩
Conference papers hal-03626306 v1

High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential

Hadrien Lorenzo , Misbah Razzaq , Jacob Odeber , Pierre-Emmanuel Morange , Jérôme Saracco et al.
CBMS 2019 - 32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 2019, Cordoba, Spain. pp.453-458, ⟨10.1109/CBMS.2019.00094⟩
Conference papers hal-02429302 v1

Logic and Linear Programs to Understand Cancer Response

Misbah Razzaq , Lokmane Chebouba , Pierre Le Jeune , Hanen Mhamdi , Carito Guziolowski et al.
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⟩
Book sections hal-02467018 v1