Author

Adrian Salavaty

Australian Regenerative Medicine InstituteORCID 0000-0001-9320-5889Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:human· 1

Frequent Co-Authors

Mirana RamialisoniD· 2 shared Peter David CurrieiD· 2 shared Alon M. DouekiD· 1 shared Anup D. ShahiD· 1 shared Florian KreuderiD· 1 shared Himisha BeltraniD· 1 shared Ian A. ParishiD· 1 shared Iresha Hanchapola· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Mirana RamialisonORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 25, 2026

ClustoCell reveals cell states and their markers from single-cell transcriptomes

Adrian Salavaty, Momeneh Foroutan, Natalia Pretel Pretel…·Ramyar Molania

ClustoCell identifies cell states and markers from single-cell transcriptomes by analyzing transcriptional architecture, improving accuracy and stability over existing methods.

DOI 10.64898/2026.08.20.746095

humanscRNA-seq

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NeurosciencebioRxivPreprintOct 3, 2022

Systems-level investigation of mucopolysaccharidosis IIIA identifies deficient synaptic activity as a key driver of disease progression

Alon M. Douek, Adrian Salavaty, Florian Kreuder…·Jan Kaslin

The paper uses a zebrafish model of MPS IIIA to identify synaptic activity deficiencies as a key driver of disease progression through systems-level omics analyses and a novel bioinformatic tool.

1 citation

zebrafishbulk RNA-seq

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Systems BiologyPatternsPeer-reviewedJun 22, 2020

IHS: an integrative method for the identification of network hubs

Adrian Salavaty, Mirana Ramialison, Peter David Currie

The paper introduces IHS, a novel algorithm that integrates network centrality measures to identify hub nodes, outperforming existing methods in validated biological networks.

100 citationstop 4%

statistical modelbenchmarking

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