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Francesco Codicè

Showing results (1-10 of 6) with videos related to

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Journal of Molecular Biology|April 26, 2022
Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein DynamicsGabriele Orlando, Daniele Raimondi, Francesco Codicè, et al.
Journal of Cheminformatics|March 15, 2025
The specification game: rethinking the evaluation of drug response prediction for precision oncologyFrancesco Codicè, Corrado Pancotti, Cesare Rollo, et al.
Bioinformatics (Oxford, England)|May 16, 2024
MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classificationCorrado Pancotti, Cesare Rollo, Francesco Codicè, et al.
Current Research in Structural Biology|June 7, 2022
HPMPdb: A machine learning-ready database of protein molecular phenotypes associated to human missense variantsDaniele Raimondi, Francesco Codicè, Gabriele Orlando, et al.
Genes|June 26, 2025
A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer ResearchFlavio Sartori, Francesco Codicè, Isabella Caranzano, et al.
Bioinformatics (Oxford, England)|April 18, 2019
Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensatesGabriele Orlando, Daniele Raimondi, Francesco Tabaro, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Molecular Biology|April 26, 2022
Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein DynamicsGabriele Orlando, Daniele Raimondi, Francesco Codicè, et al.
Journal of Cheminformatics|March 15, 2025
The specification game: rethinking the evaluation of drug response prediction for precision oncologyFrancesco Codicè, Corrado Pancotti, Cesare Rollo, et al.
Bioinformatics (Oxford, England)|May 16, 2024
MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classificationCorrado Pancotti, Cesare Rollo, Francesco Codicè, et al.
Current Research in Structural Biology|June 7, 2022
HPMPdb: A machine learning-ready database of protein molecular phenotypes associated to human missense variantsDaniele Raimondi, Francesco Codicè, Gabriele Orlando, et al.
Genes|June 26, 2025
A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer ResearchFlavio Sartori, Francesco Codicè, Isabella Caranzano, et al.
Bioinformatics (Oxford, England)|April 18, 2019
Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensatesGabriele Orlando, Daniele Raimondi, Francesco Tabaro, et al.
Pageof 1