Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.

Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.

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Superior document:Linköping Studies in Science and Technology. Dissertations Series ; v.2186
:
Rundquist, Olof.
Place / Publishing House:Linköping : : Linkopings Universitet,, 2021.
{copy}2021.
Year of Publication:2021
Edition:1st ed.
Language:English
Series:Linköping Studies in Science and Technology. Dissertations Series
Online Access:
Physical Description:1 online resource (88 pages)
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(OCoLC)1285783881
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spelling Rundquist, Olof.
Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
1st ed.
Linköping : Linkopings Universitet, 2021.
{copy}2021.
1 online resource (88 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Linköping Studies in Science and Technology. Dissertations Series ; v.2186
Intro -- Abstract -- Populärvetenskaplig sammanfattning -- List of papers -- List of Associated papers not included in thesis -- Table of Contents -- Introduction -- Aims -- Study and Experimental design -- Results and Discussion -- Conclusions and Future perspectives -- Acknowledgements -- References -- Papers.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Rundquist, Olof Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators Linköping : Linkopings Universitet,c2021 9789179291037
ProQuest (Firm)
Linköping Studies in Science and Technology. Dissertations Series
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6799475 Click to View
language English
format eBook
author Rundquist, Olof.
spellingShingle Rundquist, Olof.
Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
Linköping Studies in Science and Technology. Dissertations Series ;
Intro -- Abstract -- Populärvetenskaplig sammanfattning -- List of papers -- List of Associated papers not included in thesis -- Table of Contents -- Introduction -- Aims -- Study and Experimental design -- Results and Discussion -- Conclusions and Future perspectives -- Acknowledgements -- References -- Papers.
author_facet Rundquist, Olof.
author_variant o r or
author_sort Rundquist, Olof.
title Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
title_full Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
title_fullStr Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
title_full_unstemmed Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
title_auth Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
title_new Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
title_sort multi-omic time-series analysis of t-cells as a model for identification of biomarkers, treatments and upstream disease regulators.
series Linköping Studies in Science and Technology. Dissertations Series ;
series2 Linköping Studies in Science and Technology. Dissertations Series ;
publisher Linkopings Universitet,
publishDate 2021
physical 1 online resource (88 pages)
edition 1st ed.
contents Intro -- Abstract -- Populärvetenskaplig sammanfattning -- List of papers -- List of Associated papers not included in thesis -- Table of Contents -- Introduction -- Aims -- Study and Experimental design -- Results and Discussion -- Conclusions and Future perspectives -- Acknowledgements -- References -- Papers.
isbn 9789179291037
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6799475
illustrated Not Illustrated
oclc_num 1285783881
work_keys_str_mv AT rundquistolof multiomictimeseriesanalysisoftcellsasamodelforidentificationofbiomarkerstreatmentsandupstreamdiseaseregulators
status_str n
ids_txt_mv (MiAaPQ)5006799475
(Au-PeEL)EBL6799475
(OCoLC)1285783881
carrierType_str_mv cr
hierarchy_parent_title Linköping Studies in Science and Technology. Dissertations Series ; v.2186
is_hierarchy_title Multi-Omic Time-series Analysis of T-cells As a Model for Identification of Biomarkers, Treatments and Upstream Disease Regulators.
container_title Linköping Studies in Science and Technology. Dissertations Series ; v.2186
marc_error Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ]
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