Author

Sara Althubaiti

King Abdullah University of Science and TechnologyORCID 0000-0001-5754-8569Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Georgios V. GkoutosiD· 2 shared Paul N. SchofieldiD· 2 shared Robert HoehndorfiD· 2 shared Adeeb NooriD· 1 shared Andreas KarwathiD· 1 shared Andrew David BeggsiD· 1 shared Ashraf DalloliD· 1 shared Katsuhiko MinetaiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Georgios V. GkoutosORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 2, 2021

DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration

Sara Althubaiti, Maxat Kulmanov, Yang Liu…·Robert Hoehndorf

DeepMOCCA integrates multi-omics data with biological networks to predict cancer survival and identify patient-specific prognostic markers.

22 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedNov 22, 2019

Ontology-based prediction of cancer driver genes

Sara Althubaiti, Andreas Karwath, Ashraf Dallol…·Robert Hoehndorf

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

25 citations

humanwhole-exome sequencing

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