Author

Szabolcs Éliás

Karolinska University HospitalORCID 0000-0003-0223-1251Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Angelika SchmidtiD· 2 shared Jesper N. TegneriD· 2 shared David Gómez-CabreroiD· 1 shared Francesco MarabitaiD· 1 shared Gordon Ball· 1 shared Héctor ZeniliD· 1 shared Narsis A. KianiiD· 1 shared Yue DengiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Angelika SchmidtORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Immunology ResearchPeer-reviewedJul 3, 2021

Gene regulatory network of human GM-CSF secreting T helper cells

Szabolcs Éliás, Angelika Schmidt, David Gómez-Cabrero, Jesper N. Tegner

The paper identifies gene regulatory networks in human GM-CSF-secreting CD4 T cells using ATAC-seq and RNA-seq data, linking them to autoimmune disease.

4 citations

humanATAC-seq

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Systems BiologyiSciencePeer-reviewedJan 1, 2018

An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems

Héctor Zenil, Narsis A. Kiani, Francesco Marabita…·Jesper N. Tegner

The paper introduces a new framework for causal discovery and system reprogramming using algorithmic information theory, applied to biological systems like E. coli and cell differentiation networks.

81 citationstop 3%

E. colihuman

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