Author

Maartje D. Stutvoet

University Medical Center GroningenORCID 0000-0002-8857-7749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Annique ClaringbouldiD· 1 shared Damiano Pellegrino-CoppolaiD· 1 shared Dorret Irene BoomsmaiD· 1 shared Harm-Jan WestraiD· 1 shared Lude FrankeiD· 1 shared M. Arfan IkramiD· 1 shared P. Eline SlagboomiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Annique ClaringbouldORCID

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1 paper

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedMar 15, 2021

Correction for both common and rare cell types in blood is important to identify genes that correlate with age

Damiano Pellegrino-Coppola, Annique Claringbould, Maartje D. Stutvoet…·Lude Franke

The paper compares two models for correcting cell type composition in blood gene expression data, finding that accounting for more cell types reduces the number of age-associated genes and highlights platelet-related pathways.

8 citations

humanbulk RNA-seq

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