University of Aberdeen

AURA - Aberdeen University Research Archive

View Item 
  •   AURA Home
  • 5 - All research
  • All research
  • View Item
  •   AURA Home
  • 5 - All research
  • All research
  • View Item
  •   AURA Home
  • 5 - All research
  • All research
  • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      A topological data analysis based classification method for multiple measurements

      View/Open
      Riihimaki_etal_BMCbio_Topological_data_VOR.pdf (2.371Mb)
      Publication date
      29/07/2020
      Author
      Riihimäki, Henri
      Chachólski, Wojciech
      Theorell, Jakob
      Hillert, Jan
      Ramanujam, Ryan
      Metadata
      Show full item record
      Citation
      Riihimäki , H , Chachólski , W , Theorell , J , Hillert , J & Ramanujam , R 2020 , ' A topological data analysis based classification method for multiple measurements ' , BMC Bioinformatics , vol. 21 , 336 . https://doi.org/10.1186/s12859-020-03659-3
      URI
      https://hdl.handle.net/2164/15044
      DOI
      https://doi.org/10.1186/s12859-020-03659-3
      Rights
      This article is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
      Collections
      • All research

      Related items

      Showing items related by title, author, creator and subject.

      • Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1 : Individual participant data meta-analysis and health economic analysis 

        Stock, Sarah J.; Wotherspoon, Lisa M.; Boyd, Kathleen A.; Morris, Rachel K.; Dorling, Jon; Jackson, Lesley; Chandiramani, Manju; David, Anna L.; Khalil, Asma; Shennan, Andrew; Hodgetts Morton, Victoria; Lavender, Tina; Khan, Khalid; Harper-Clarke, Susan; Mol, Ben W.; Riley, Richard D.; Norrie, John; Norman, Jane E. (2018-04-07)
      • Bone mineral density and incidence of stroke: European Prospective Investigation into Caner-Norfolk population-based study, systematic review and meta-analysis : European Prospective Investigation into Cancer - Norfolk population–based study, systematic review, and meta-analysis 

        Myint, Phyo Kyaw; Clark, Allan B; Kwok, Chun Shing; Loke, Yoon Kong; Yeong, Jessica Ka-Yan; Luben, Robert N; Wareham, Nicholas J; Khaw, Kay-Tee (2014-02)
      • Cardiovascular disease and vitamin D supplementation : trial analysis, systematic review, and meta-analysis 

        Ford, John A; MacLennan, Graeme S; Avenell, Alison; Bolland, Mark; Grey, Andrew; Witham, Miles; RECORD Trial Group (2014-09)

      Browse

      All of AURACommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
      Top of Page
      • AURA Home
      • Accessibility
      • PURE
      • Digital Resources
      • Library, Special Collections & Museums
      • Take-Down Notice
      • Send Feedback
      • Contact Us
         
       
      Library, Special Collections and Museums logo
      The Sir Duncan Rice Library
      University of Aberdeen
      Bedford Road
      Aberdeen
      AB24 3AA

      Tel: +44 (0)1224 273330
      Email: library@abdn.ac.uk
       
         

      Share and keep up to date

      FacebookTwitterWordpress

      • AURA Home
      • Accessibility
      • PURE
      • Digital Resources
      • Library, Special Collections & Museums
      • Take-Down Notice
      • Send Feedback
      • Contact Us