Author

Grazia Piizzi

Merck & Co., Inc., Rahway, NJ, USA (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrej Palička· 1 shared Christopher H. WoelkiD· 1 shared Dan ChangiD· 1 shared Danny A. BittoniD· 1 shared Daria J. HazudaiD· 1 shared David PříhodaiD· 1 shared Geoffrey D. HanniganiD· 1 shared Gergely TemesiiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Andrej Palička

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedAug 8, 2019

A Deep Learning Genome-Mining Strategy Improves Biosynthetic Gene Cluster Prediction

Geoffrey D. Hannigan, David Příhoda, Andrej Palička…·Danny A. Bitton

This paper introduces DeepBGC, a deep learning method for improved biosynthetic gene cluster prediction, uncovering previously undetectable clusters with potential novel biological activities.

421 citationstop 1%

bacteria (other)whole-genome sequencing

𝕏 PostBluesky