Author

Mari Vähä-Mäkilä

University of TurkuORCID 0000-0003-2216-4607Unclaimed 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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Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Essi LaajalaiD· 1 shared Harri J LähdesmäkiiD· 1 shared Henna KallionpääiD· 1 shared Jorma ToppariiD· 1 shared Juha MykkäneniD· 1 shared Matej OrešičiD· 1 shared Mikael KnipiD· 1 shared Mirja NurmioiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Essi LaajalaORCID

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1 paper

Recent·Most cited

BioinformaticsEpigeneticsPeer-reviewedMar 4, 2022

Permutation-based significance analysis reduces the type 1 error rate in bisulfite sequencing data analysis of human umbilical cord blood samples

Essi Laajala, Viivi Halla-aho, Toni Grönroos…·Harri J Lähdesmäki

The paper evaluates the type 1 error rate in bisulfite sequencing analysis of umbilical cord blood samples and finds that permutation-based significance analysis reduces it, with minimal differential methylation associated with clinical variables except sex.

8 citations

humanDNA methylation

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