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misbah Razzaq

10
Documents

Présentation

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

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

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

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

Misbah Razzaq , Louisa Goumidi , Maria Jesus Iglesias , Gaelle Munsch , Maria Bruzelius
Computational Methods in Systems Biology, Sep 2021, Bordeaux, France. pp.108-121
Communication dans un congrès hal-03457887v1

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

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

Logic and Linear Programs to Understand Cancer Response

Misbah Razzaq , Lokmane Chebouba , Pierre Le Jeune , Hanen Mhamdi , Carito Guziolowski
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⟩
Chapitre d'ouvrage hal-02467018v1