Verfügbarkeit: Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources

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Titel:	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources
Von:	by Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
Person:	Hepp, Tobias Verfasser aut Zierk, Jakob Rauh, Manfred Metzler, Markus Mayr, Andreas
Hauptverfassende:	Hepp, Tobias (VerfasserIn), Zierk, Jakob (VerfasserIn), Rauh, Manfred (VerfasserIn), Metzler, Markus (VerfasserIn), Mayr, Andreas (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2020
Schlagworte:	Microarrays. Bioinformatics. Computational biology. Algorithms. Computational Biology/Bioinformatics. Computer Appl. in Life Sciences.
Online-Zugang:	https://open.fau.de/handle/openfau/15785 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-157852
Beschreibung:	1 Online-Ressource

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spelling	Hepp, Tobias Verfasser aut Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources by Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2020 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Microarrays. Bioinformatics. Computational biology. Algorithms. Computational Biology/Bioinformatics. Computer Appl. in Life Sciences. Zierk, Jakob Verfasser aut Rauh, Manfred Verfasser aut Metzler, Markus Verfasser aut Mayr, Andreas Verfasser aut Sonderdruck aus BMC Bioinformatics Vol. 21 (2020) 10.1186/s12859-020-03853-3 https://open.fau.de/handle/openfau/15785 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-157852 Resolving-System kostenfrei Volltext 1\p aepkn 0,84876 20201225 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99778 20201225 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20201224 DE-101 https://d-nb.info/provenance/plan#npi
spellingShingle	Hepp, Tobias Zierk, Jakob Rauh, Manfred Metzler, Markus Mayr, Andreas Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources Microarrays. Bioinformatics. Computational biology. Algorithms.
title	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources
title_auth	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources
title_exact_search	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources
title_full	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources by Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
title_fullStr	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources by Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
title_full_unstemmed	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources by Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
title_short	Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources
title_sort	latent class distributional regression for the estimation of non linear reference limits from contaminated data sources
topic	Microarrays. Bioinformatics. Computational biology. Algorithms.
topic_facet	Microarrays. Bioinformatics. Computational biology. Algorithms.
url	https://open.fau.de/handle/openfau/15785 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-157852
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