Author

Fortunato Bianconi

University of PerugiaORCID 0000-0002-3132-0061Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Chiara AntoniniiD· 2 shared Lorenzo TomassoniiD· 2 shared Paolo ValigiiD· 2 shared

Activity by Year

2017-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersSystems Biology

Chiara AntoniniORCID

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2 papers

Recent·Most cited

Systems BiologyFrontiers in Applied Mathematics and StatisticsPeer-reviewedJul 15, 2020

A new Bayesian methodology for nonlinear model calibration in Computational Systems Biology

Fortunato Bianconi, Lorenzo Tomassoni, Chiara Antonini, Paolo Valigi

This paper introduces a Bayesian method for nonlinear model calibration using omics data, showing it outperforms existing methods in robustness and computational efficiency.

8 citations

Bayesian inferencestatistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintOct 2, 2017

Conditional Robust Calibration (CRC): a new computational Bayesian methodology for model parameters estimation and identifiability analysis

Fortunato Bianconi, Chiara Antonini, Lorenzo Tomassoni, Paolo Valigi

This paper introduces a Bayesian method for model calibration and identifiability analysis, showing it provides more robust and precise results than existing approaches.

2 citations

Bayesian inferencestatistical model

𝕏 PostBluesky