Author

Vito Paolo Pastore

Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy;ORCID 0000-0002-5827-5571Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 3 Research Focus:clustering· 2 Approach:experimental assay· 2 Assay:imaging· 2 Organism:C. elegans· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:fungi (other)· 1

Frequent Co-Authors

Hiten D. MadhaniiD· 2 shared Manning Y. HuangiD· 2 shared Massimiliano CiranniiD· 2 shared Simone BiancoiD· 2 shared Alexi I. Goranov· 1 shared Andreas LangeniD· 1 shared Andrew Condon· 1 shared Angela L. Wei· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 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

2 shared papersMicrobiology

Hiten D. MadhaniORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Therapeutic vulnerabilities of the drug-resistant fungal meningitis pathogen Cryptococcus neoformans

Manning Y. Huang, Patrick Hecht, Kyle Cesar, Massimiliano Ciranni, Angela L. Wei, Michael J. Boucher, Sydney L. Briner, Lea Lortal, Veda Nayak, Ankur Ankur, Tuo Wang, Tamara L. Doering, Vito Paolo Pastore, Hiten D. Madhani

This study identifies therapeutic vulnerabilities in Cryptococcus neoformans using CRISPR-insert and machine learning, revealing new drug targets and synthetic lethal dependencies.

bioRxiv · Nov 2, 2026 · PreprintMicrobiology

Phenotypic landscape of a fungal meningitis pathogen reveals its unique biology

Michael J. Boucher, Sanjita Banerjee, Meenakshi B Joshi, Angela L. Wei, Matthew J. Nalley, Manning Y. Huang, Susan Lei, Massimiliano Ciranni, Andrew Condon, Andreas Langen, Thomas D. Goddard, Ippolito I Caradonna, Alexi I. Goranov, Christina M. Homer, Yasaman Mortensen, , Hiten D. Madhani

The paper characterizes the phenotypic landscape of Cryptococcus neoformans by analyzing gene deletions and their fitness under various conditions, revealing novel biological insights.

Cell · Oct 22, 2024Peer-reviewedMicrobiology

Phenotype to genotype mapping using supervised and unsupervised learning

Vito Paolo Pastore, Ashwini Oke, Sara Capponi, Daniel Elnatan, Jennifer Carol Fung, Simone Bianco

This paper develops a framework combining CNN and unsupervised learning to map genotype to vacuole morphology in yeast, identifying 4 phenotypic groups with 85% purity and 80% prediction accuracy.

bioRxiv · Mar 17, 2022 · PreprintBioinformatics

Annotation-free Learning of Plankton for Classification and Anomaly Detection

Vito Paolo Pastore, Thomas G. Zimmerman, Sujoy Kumar Biswas, Simone Bianco

This paper introduces algorithms for automatic plankton classification and anomaly detection with minimal supervision, achieving performance comparable to supervised methods on real-world datasets.

Scientific Reports · Jul 22, 2020Peer-reviewedBioinformatics