Author

Maya Kassis

St George's, University of London

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Claudia GiambartolomeiiD· 1 shared Dietmar Fernández‐OrthiD· 1 shared Eleftherios G. Samaras· 1 shared Fotis AisoposiD· 1 shared George PaliourasiD· 1 shared Gian Gaetano TartagliaiD· 1 shared Giorgio Bini· 1 shared Jordi RamblaiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Claudia GiambartolomeiORCID

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1 paper

Recent·Most cited

Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease

Magdalena Arnal, Giorgio Bini, Dietmar Fernández‐Orth, Eleftherios G. Samaras, Maya Kassis, Fotis Aisopos, Jordi Rambla, George Paliouras, Peter Garrard, Claudia Giambartolomei, Gian Gaetano Tartaglia

The paper uses machine learning to analyze genotyping data and identifies interactions between SNVs in late onset Alzheimer's disease, highlighting specific genomic profiles and interactions involving APOE and other genes.

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · Jan 1, 2022Peer-reviewedGenetic & Genomic Medicine