Author

Panayiota L. Papasavva

Cyprus Institute of Neurology and GeneticsORCID 0000-0003-4410-3119Unclaimed ORCID profile · follow to get notified of new preprints

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Anastasis OulasiD· 1 shared George M. SpyrouiD· 1 shared Nestoras KarathanasisiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Anastasis OulasORCID

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1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintFeb 29, 2024

Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia Patients

Nestoras Karathanasis, Panayiota L. Papasavva, Anastasis Oulas, George M. Spyrou

This paper uses machine learning to predict drug sensitivity in AML patients using the BeatAML dataset, finding RNA sequencing data provides better predictive power than whole exome sequencing or clinical data.

2 citations

humanbulk RNA-seq

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