Author

Artemis G. Hatzigeorgiou

University of ThessalyORCID 0000-0003-1414-5668Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CUT&Tag· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

Christos GkemisisiD· 1 shared Dafni Chroni-Tzartou· 1 shared Dimitra KaragkouniiD· 1 shared Dimitra ThomaidouiD· 1 shared Elsa PapadimitriouiD· 1 shared Evangelia XingiiD· 1 shared Georgios K. GeorgakilasiD· 1 shared Ioannis S. VlachosiD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperNeuroscience

Christos GkemisisORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

NeuroscienceStem Cell ReportsPeer-reviewedMar 23, 2023

A miR-124-mediated post-transcriptional mechanism controlling the cell fate switch of astrocytes to induced-neurons

Elsa Papadimitriou, Paraskevi N. Koutsoudaki, Irini Thanou…·Dimitra Thomaidou

This study shows miR-124 can drive astrocyte-to-neuron reprogramming independently, by targeting Zfp36l1 and enhancing neurogenic pathways, with ISX9 improving efficiency and maturation.

37 citationstop 3%

mousebulk RNA-seq

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BioinformaticsScientific ReportsPeer-reviewedJan 21, 2020

Solving the transcription start site identification problem with ADAPT-CAGE: a Machine Learning algorithm for analysis of CAGE data

Georgios K. Georgakilas, Nikos Perdikopanis, Artemis G. Hatzigeorgiou

ADAPT-CAGE improves TSS identification from CAGE data using machine learning, outperforming existing methods and enabling accurate genome-wide annotation.

29 citations

CUT&Tagmachine learning (classical)

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BioinformaticsScientific ReportsPeer-reviewedJan 20, 2020

Manatee: detection and quantification of small non-coding RNAs from next-generation sequencing data

Joanna E. Handzlik, Spyros Tastsoglou, Ioannis S. Vlachos, Artemis G. Hatzigeorgiou

Manatee quantifies small non-coding RNA classes and detects uncharacterized loci from sRNA-Seq data with high accuracy.

29 citations

long-read sequencingstatistical model

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