Author

Dimitris V. Manatakis

Emulate (United States)ORCID 0000-0001-9196-198XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aaron P. VanDevenderiD· 1 shared E. S. Manolakos· 1 shared Elias S. ManolakosiD· 1 shared Panagiοtis TsakanikasiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 2 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

Aaron P. VanDevenderORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 14, 2020

An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures

Dimitris V. Manatakis, Aaron P. VanDevender, Elias S. Manolakos

The paper introduces a new information-theoretic distance measure, TSD, to assess transcriptomic similarity between tissue samples using RNA-seq data and curated gene signatures.

13 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 13, 2018

Machine learning methods to reverse engineer dynamic gene regulatory networks governing cell state transitions

Panagiοtis Tsakanikas, Dimitris V. Manatakis, E. S. Manolakos

This paper introduces a machine learning method to analyze single-cell gene expression data and reconstruct dynamic gene regulatory networks during cell state transitions, with application to hematopoiesis.

3 citations

humanscRNA-seq

𝕏 PostBluesky