Author

Areej Abu Rmaileh

Hebrew University of JerusalemORCID 0000-0002-1460-9840Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Arata HayashiiD· 2 shared Yoav David ShauliD· 2 shared Abdelrahaman KarmiiD· 1 shared Anees KhatibiD· 1 shared Balakrishnan SolaimuthuiD· 1 shared Chiara MazzoniiD· 1 shared Elisheva E. HeilbruniD· 1 shared Itai MizrahiiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Arata HayashiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Dihydropyrimidines sustain aggressive cancer states by stabilizing DPYSL2

Arata Hayashi, Sarah Knapp, Abdelrahaman Karmi, Vaibhav Gupta, Itai Mizrahi, Shirel Lavi, Sinai Shammah, Yael Sitton, Ravit Glukhman, Balakrishnan Solaimuthu, Sayanika Banerjee, Areej Abu Rmaileh, Anees Khatib, Michal Lichtenstein, Ora Schueler‐Furman, , Yoav David Shaul

This study identifies dihydropyrimidines (DHPs) as signaling metabolites that sustain aggressive cancer states by stabilizing DPYSL2, linking metabolic activity to oncogenic signaling.

bioRxiv · Jun 18, 2026 · PreprintCancer Biology

GENI: a web server to identify gene set enrichments in tumor samples

Arata Hayashi, Shmuel Ruppo, Elisheva E. Heilbrun, Chiara Mazzoni, Sheera Adar, Moran Yassour, Areej Abu Rmaileh, Yoav David Shaul

GENI is a web tool that identifies gene set enrichments in TCGA tumor data, simplifying analysis for non-experts by evaluating gene expression in the context of the whole transcriptome.

Computational and Structural Biotechnology Journal · Jan 1, 2023Peer-reviewedBioinformatics