Author

Αναστάσιος Μητσιγκόλας

Vrije Universiteit AmsterdamORCID 0000-0001-9478-2645Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 1

Frequent Co-Authors

Fotis E PsomopoulosiD· 1 shared Nikolaos PechlivanisiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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

Fotis E PsomopoulosORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 25, 2022

Assessing SARS-CoV-2 evolution through the analysis of emerging mutations

Αναστάσιος Μητσιγκόλας, Nikolaos Pechlivanis, Fotis E Psomopoulos

The paper develops a machine learning method to detect co-occurring mutation patterns in SARS-CoV-2 sequences, beyond strain-specific mutations, using clustering to create a dendrogram based on mutation features.

DOI 10.1101/2022.10.25.513701

machine learning (classical)

𝕏 PostBluesky