Author

Shaimaa Hassan

The Francis Crick Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Genetics· 2

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Research Focus:differential expression· 2 Organism:yeast· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Jürg BähleriD· 2 shared Maria Rodríguez‐LópeziD· 2 shared Alessandro CellerinoiD· 1 shared Alessandro OriiD· 1 shared Büşra Köksal· 1 shared Christine Anne OrengoiD· 1 shared Harry M. ScholesiD· 1 shared Jonathan Gill LeesiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenetics

Jürg BählerORCID

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2 papers

Recent·Most cited

Gene function and expression profiling in yeast spores, killifish diapause embryos, and their post-dormant offspring cells

Shaimaa Hassan, Maria Rodríguez‐López, StJohn Townsend, Büşra Köksal, Sezin Akkus, Alessandro Ori, Alessandro Cellerino, Markus Ralser, Jürg Bähler

The paper compares gene function and expression in dormant cells of yeast spores and killifish diapause embryos, finding conserved transcriptomic and proteomic changes across species.

bioRxiv · May 17, 2026 · PreprintGenetics

Broad functional profiling of fission yeast proteins using phenomics and machine learning

Maria Rodríguez‐López, Nicola Bordin, Jonathan Gill Lees, Harry M. Scholes, Shaimaa Hassan, Quentin Saintain, Stephan Kamrad, Christine Anne Orengo, Jürg Bähler

The paper uses phenomics and machine learning to predict protein functions in fission yeast, identifying novel roles and validating predictions through experimental validation.

eLife · Oct 3, 2023Peer-reviewedGenetics