Author

Shadi Salem Alkhayyat

King Abdulaziz UniversityORCID 0000-0001-9339-9396Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adeeb NooriD· 1 shared Andreas KarwathiD· 1 shared Andrew David BeggsiD· 1 shared Ashraf DalloliD· 1 shared Georgios V. GkoutosiD· 1 shared Katsuhiko MinetaiD· 1 shared Paul N. SchofieldiD· 1 shared Robert HoehndorfiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adeeb NoorORCID

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1 paper

Recent·Most cited

Ontology-based prediction of cancer driver genes

Sara Althubaiti, Andreas Karwath, Ashraf Dallol, Adeeb Noor, Shadi Salem Alkhayyat, Rolina Al‐Wassia, Katsuhiko Mineta, Takashi Gojobori, Andrew David Beggs, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf

This paper introduces a method to predict cancer driver genes using ontology-based features and validates it in nasopharyngeal and colorectal cancers.

Scientific Reports · Nov 22, 2019Peer-reviewedBioinformatics