misbah Razzaq
11
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
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An overview of deep learning applications in precocious puberty and thyroid dysfunctionFrontiers in Endocrinology, 2022, 13, pp.959546. ⟨10.3389/fendo.2022.959546⟩
Journal articles
hal-03824764v1
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An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolismScientific Reports, 2021, 11 (1), pp.14015. ⟨10.1038/s41598-021-93390-7⟩
Journal articles
hal-03328648v1
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Computational Discovery of Dynamic Cell Line Specific Boolean Networks from Multiplex Time-Course DataPLoS Computational Biology, 2018, 14, pp.1-23. ⟨10.1371/journal.pcbi.1006538⟩
Journal articles
hal-01897020v1
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Explainable Artificial Neural Network for Recurrent Venous Thromboembolism Based on Plasma ProteomicsComputational Methods in Systems Biology, Sep 2021, Bordeaux, France. pp.108-121
Conference papers
hal-03457887v1
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Explainable Artificial Neural Network for Recurrent Venous Thromboembolism Based on Plasma ProteomicsInternational 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-03626306v1
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High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation PotentialCBMS 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-02429302v1
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Computing Diverse Boolean Networks from Phosphoproteomic Time Series Datapp.59-74, 2018
Books
hal-01988432v1
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Logic and Linear Programs to Understand Cancer ResponseLiò 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-02467018v1
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Automatic ovarian follicle detection using object detection models2024
Preprints, Working Papers, ...
hal-04669483v1
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Logic and Linear programs to understand cancer response2018
Preprints, Working Papers, ...
hal-01897036v1
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Integrating phosphoproteomic time series data into prior knowledge networksBioinformatics [q-bio.QM]. École centrale de Nantes, 2018. English. ⟨NNT : 2018ECDN0048⟩
Theses
tel-02021019v1
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