BiasCorrector: Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies.

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Title: BiasCorrector: Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies.
Authors: Kapsner LA; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany., Zavgorodnij MG; Functional Analysis and Operational Equations, Voronezh State University, Voronezh, Russia., Majorova SP; Higher Mathematics and Physical Mathematical Modelling, Voronezh State Technical University, Voronezh, Russia., Hotz-Wagenblatt A; Omics IT and Data Management Core Facility, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany., Kolychev OV; Research Center, Zhukovsky-Gagarin Academy, Voronezh, Russia., Lebedev IN; Laboratory of Cytogenetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Tomsk, Russia., Hoheisel JD; Functional Genome Analysis, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany., Hartmann A; Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Bauer A; Functional Genome Analysis, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany., Mate S; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany., Prokosch HU; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany.; Chair of Medical Informatics, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Haller F; Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Moskalev EA; Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Source: International journal of cancer [Int J Cancer] 2021 Sep 01; Vol. 149 (5), pp. 1150-1165. Date of Electronic Publication: 2021 May 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 0042124 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0215 (Electronic) Linking ISSN: 00207136 NLM ISO Abbreviation: Int J Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1097-0215
DOI:10.1002/ijc.33681