Author

Marco Pietrosanto

University of Rome Tor VergataORCID 0000-0001-5129-6065Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Federico CremisiiD· 2 shared Francesco MorandiniD· 2 shared Manuela Helmer‐CitterichiD· 2 shared Silvia Giulia GalfrèiD· 2 shared Alberto MercatantiiD· 1 shared Alessandro GrottesiiD· 1 shared Alessandro PaiardiniiD· 1 shared Andrea MarranciiD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Federico CremisiORCID

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3 papers

Recent·Most cited

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedJun 23, 2021

COTAN: Co-expression Table Analysis for scRNA-seq data

Silvia Giulia Galfrè, Francesco Morandin, Marco Pietrosanto…·Manuela Helmer‐Citterich

COTAN estimates gene co-expression in scRNA-seq data to analyze cell identity factors and infer gene interactomes.

24 citations

scRNA-seqstatistical model

𝕏 PostBluesky

Developmental BiologyStem Cell ReportsPeer-reviewedMay 20, 2021

An Eutherian-Specific microRNA Controls the Translation of Satb2 in a Model of Cortical Differentiation

Manuella Martins, Silvia Giulia Galfrè, Marco Terrigno…·Federico Cremisi

The paper identifies miR-541 as an Eutherian-specific microRNA that regulates Satb2 translation during cortical development, revealing its role in timing neuronal identity.

16 citations

mousebulk RNA-seq

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BioinformaticsPLoS Computational BiologyPeer-reviewedDec 17, 2019

Revisiting the \"satisfaction of spatial restraints\" approach of MODELLER for protein homology modeling

Giacomo Janson, Alessandro Grottesi, Marco Pietrosanto…·Alessandro Paiardini

This paper improves MODELLER's 3D protein modeling by modifying its estimation of structural divergence and incorporating statistical potentials, enhancing prediction accuracy.

20 citations

protein structurestatistical model

𝕏 PostBluesky