Author

Rached Alkallas

McGill Genome CentreORCID 0000-0003-3040-1860Unclaimed 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· 3 Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Elham MoslemiiD· 2 shared Gabrielle PerroniD· 2 shared Hamed Shateri NajafabadiiD· 2 shared Maryam Rajaee· 2 shared Pouria JandaghiiD· 2 shared Tamiko Nishimura· 2 shared Yasser RiazalhosseiniiD· 2 shared Adam GodzikiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenomics

Elham MoslemiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintOct 6, 2026

A map of RBP-miRNA regulatory connections for deciphering the mechanisms of transcriptome remodeling in cancer

Gabrielle Perron, Mohan Amaravadi, Cynthia Tseng…·Hamed Shateri Najafabadi

The paper maps regulatory connections between RBPs and miRNAs in cancer, showing RBP-driven regulation contributes to miRNA activity heterogeneity and identifies DDX55 as a key regulator of miR-29-3p.

DOI 10.64898/2026.09.29.755492

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsCommunications BiologyPeer-reviewedAug 20, 2022

Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs

Gabrielle Perron, Pouria Jandaghi, Elham Moslemi…·Hamed Shateri Najafabadi

The paper analyzes mRNA stability across 7760 cancer samples to identify stability changes and factors driving them in tumour development.

35 citations

humanbulk RNA-seq

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BioinformaticsScientific ReportsPeer-reviewedJan 24, 2019

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

Robert Kueffner, Neta Zach, Maya Bronfeld…·Shihua Zhang

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.

55 citationstop 3%

humanmachine learning (classical)

𝕏 PostBluesky