Author

Angelo Luigi Vescovi

Casa Sollievo della SofferenzaORCID 0000-0002-1742-4112Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Agnese GiovannettiiD· 1 shared Alessandro NapoliiD· 1 shared Anna Maria D’ErchiaiD· 1 shared Chrysovalentinos PousisiD· 1 shared Claudia Lasconi· 1 shared Daniela Celeste ProficoiD· 1 shared Diletta Lucia Capobianco· 1 shared Douglas C. WallaceiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Agnese GiovannettiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 20, 2026

Intercellular Transfer of PTBP1 Drives Human Neural Stem Cell Fate

Diletta Lucia Capobianco, F. Di Palma, Ermes Filomena…·Francesco Pisani

This study identifies PTBP1's role in human neural stem cell fate by showing it can be transferred between cells via tunneling nanotubes and extracellular vesicles, affecting proliferation and differentiation.

DOI 10.64898/2026.02.19.706765

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedAug 19, 2023

APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants

Salvatore Daniele Bianco, Luca Parca, Francesco Petrizzelli…·Tommaso Mazza

APOGEE 2 improves pathogenicity prediction for mitochondrial missense variants using a machine learning model based on ACMG/AMP guidelines and provides region-wise genome fragility assessments.

44 citationstop 2%

humanwhole-genome sequencing

𝕏 PostBluesky