Vittorio Fortino

Associate Professor

University of Eastern Finland

Finland

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Articles (13)

Multi-task deep latent spaces for cancer survival and drug sensitivity prediction

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Year:

2024

COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms

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Year:

2024

Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection

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Year:

2024

Integrated Network Pharmacology Approach for Drug Combination Discovery

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Year:

2022

Improved NSGA-II algorithms for multi-objective biomarker discovery

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Year:

2022

Network approaches for modeling the effect of drugs and diseases

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Year:

2022

EDTox: an R Shiny application to predict the endocrine disruption potential of compounds

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Year:

2022

Identifying gene expression-based biomarkers in online learning environments

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Year:

2022

Biomarkers of nanomaterials hazard from multi-layer data

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Year:

2022

Characterization of ENM Dynamic Dose-Dependent MOA in Lung with Respect to Immune Cells Infiltration

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Year:

2022

A toxicogenomic data space for system-level understanding and prediction of EDC-induced toxicity

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Year:

2021

Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis

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Year:

2020

Publisher Correction: Prioritizing target-disease associations with novel safety and efficacy scoring methods

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Year:

2020

Collaborators (7)

Antonio FEDERICO

University of Tampere

FINLAND

Alisa Pavel

University of Tampere

FINLAND

Pia Kinaret

University of Helsinki

FINLAND

Nina Linder

University of Helsinki

FINLAND

Francesco Napolitano

Assistant Professor

University of Sannio

ITALY

Lena Möbus

University of Tampere

FINLAND

Johan Lundin

Karolinska Institutet

SWEDEN

Vittorio Fortino

Research Interests

Explore related searches

Contact this professor

Articles (13)

Multi-task deep latent spaces for cancer survival and drug sensitivity prediction

COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms

Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection

Integrated Network Pharmacology Approach for Drug Combination Discovery

Improved NSGA-II algorithms for multi-objective biomarker discovery

Network approaches for modeling the effect of drugs and diseases

EDTox: an R Shiny application to predict the endocrine disruption potential of compounds

Identifying gene expression-based biomarkers in online learning environments

Biomarkers of nanomaterials hazard from multi-layer data

Characterization of ENM Dynamic Dose-Dependent MOA in Lung with Respect to Immune Cells Infiltration

A toxicogenomic data space for system-level understanding and prediction of EDC-induced toxicity

Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis

Publisher Correction: Prioritizing target-disease associations with novel safety and efficacy scoring methods

Collaborators (7)

Antonio FEDERICO

Alisa Pavel

Pia Kinaret

Nina Linder

Francesco Napolitano

Lena Möbus

Johan Lundin

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