Author

Robail Yasrab

University of CambridgeORCID 0000-0002-1673-1946Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Andrew P. FrenchiD· 1 shared Darren M. WellsiD· 1 shared Jonathan A. AtkinsoniD· 1 shared Maha Mohamed Saber-AyadiD· 1 shared Michael P. PoundiD· 1 shared Mohamed S. El-HadidiiD· 1 shared Ruchit Agrawal· 1 shared Tony PridmoreiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

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8 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Andrew P. FrenchORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJun 26, 2025

Decoding Breast Cancer Heterogeneity via Multi-Omics Integration and Language Model-Based Interpretation

Robail Yasrab, Ruchit Agrawal, Maha Mohamed Saber-Ayad, Mohamed S. El-Hadidi

This paper develops a multi-omics pipeline using MOFA and LLMs to classify breast cancer subtypes, achieving higher accuracy than traditional models.

1 citation

humanDNA methylation

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BioinformaticsGigaSciencePeer-reviewedNov 1, 2019

RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures

Robail Yasrab, Jonathan A. Atkinson, Darren M. Wells…·Michael P. Pound

RootNav 2.0 uses deep learning to automatically extract root architectures from plant images, achieving comparable accuracy to semi-automatic methods with significantly increased speed.

169 citationstop 1%

Arabidopsishuman

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