Author

Francesco Marabita

Biomax Informatics (Germany)ORCID 0000-0001-6180-0106Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Jesper N. TegneriD· 2 shared Ali MortazaviiD· 1 shared Amy C. HarmsiD· 1 shared Ana ConesaiD· 1 shared Andreas SchmidtiD· 1 shared Angelika SchmidtiD· 1 shared Antonio García-GómeziD· 1 shared Antti KalloneniD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Jesper N. TegnerORCID

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3 papers

Recent·Most cited

Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health

Francesco Marabita, Tojo James, Anu Karhu, Heidi Virtanen, K Kettunen, Hans C. Stenlund, Fredrik Boulund, Cecilia Hellström, Maja Neiman, Robert Mills, Teemu Perheentupa, Hannele M. Laivuori, Pyry Helkkula, Myles Byrne, Ilkka Jokinen, , Olli Kallioniemi

The paper integrates multiomics and digital health data from 96 individuals over 16 months to identify independent molecular factors linked to health outcomes and lifestyle changes.

Cell Systems · Dec 1, 2021Peer-reviewedSystems Biology

STATegra: a comprehensive multi-omics dataset of B-cell differentiation in mouse

David Gómez-Cabrero, Sonia Tarazona, Isabel Ferreirós-Vidal, Ricardo N. Ramírez, Andreas Schmidt, Theo H Reijmers, Veronica von Saint Paul, Francesco Marabita, Javier Rodríguez‐Ubreva, Antonio García-Gómez, Thomas D. Carroll, Lee Cooper, Ziwei Liang, Gopuraja Dharmalingam, Frans M. van der Kloet, , Ana Conesa

The paper presents STATegra, a multi-omics dataset of mouse B-cell differentiation combining 10 omics technologies to study dynamic cellular processes.

Scientific Data · Oct 31, 2019Peer-reviewedBioinformatics

An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems

Héctor Zenil, Narsis A. Kiani, Francesco Marabita, Yue Deng, Szabolcs Éliás, Angelika Schmidt, Gordon Ball, 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.

iScience · Jan 1, 2018Peer-reviewedSystems Biology