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An Ontology-based Method for Assessing Batch Effect Adjustment Approaches in Heterogeneous Datasets

MPS-Authors
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Schmidt,  Florian
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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List,  Markus
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Schulz,  Marcel H.
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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bty553.pdf
(Publisher version), 600KB

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Citation

Schmidt, F., List, M., Cukuroglu, E., Koehler, S., Goke, J., & Schulz, M. H. (2018). An Ontology-based Method for Assessing Batch Effect Adjustment Approaches in Heterogeneous Datasets. Bioinformatics, 34(17), i908-i916. doi:10.1093/bioinformatics/bty553.


Cite as: http://hdl.handle.net/21.11116/0000-0002-5732-4
Abstract
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