Author

Diego Garlaschelli

Leiden UniversityORCID 0000-0001-6035-1783Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:ecology & biodiversity· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

David JohnsoniD· 1 shared Franciska T. de VriesiD· 1 shared Giulio Virginio ClementeiD· 1 shared Jocelyn M. LavalleeiD· 1 shared Maria MirceaiD· 1 shared Mark EmmersoniD· 1 shared Mathilde ChomeliD· 1 shared Mazène HochaneiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperEcology

David JohnsonORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintJan 22, 2026

Maximum entropy networks predict fluctuations and stability of food web energetics

Giulio Virginio Clemente, T. Caruso, Mathilde Chomel…·Diego Garlaschelli

The paper uses maximum entropy networks to predict how food webs respond to perturbations by analyzing their intrinsic fluctuations and stability.

DOI 10.64898/2026.01.19.700332

statistical modelecology & biodiversity

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedJan 10, 2022

A clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

Maria Mircea, Mazène Hochane, Xueying Fan…·Stefan Semrau

The paper introduces SIGMA, a clusterability measure to identify meaningful subpopulations in single-cell transcriptomics data, leading to the discovery of previously overlooked phenotypes.

19 citations

scRNA-seqstatistical model

𝕏 PostBluesky