dc.contributor.author | Riihimäki, Henri | |
dc.contributor.author | Chachólski, Wojciech | |
dc.contributor.author | Theorell, Jakob | |
dc.contributor.author | Hillert, Jan | |
dc.contributor.author | Ramanujam, Ryan | |
dc.date.accessioned | 2020-09-01T08:10:02Z | |
dc.date.available | 2020-09-01T08:10:02Z | |
dc.date.issued | 2020-07-29 | |
dc.identifier.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 | en |
dc.identifier.issn | 1471-2105 | |
dc.identifier.other | PURE: 175012510 | |
dc.identifier.other | PURE UUID: 62e79482-c4fe-4b99-9c0a-ce4d8e55b305 | |
dc.identifier.other | RIS: urn:239823C9244D4A497C335371DDA0FC09 | |
dc.identifier.other | RIS: Riihimäki2020 | |
dc.identifier.other | Scopus: 85088852643 | |
dc.identifier.other | PubMed: 32727348 | |
dc.identifier.other | WOS: 000559095100002 | |
dc.identifier.uri | https://hdl.handle.net/2164/15044 | |
dc.description | HR was partly supported by a collaboration agreement between the University of Aberdeen and EPFL. WC was partially supported by VR 2014-04770 and Wallenberg AI, Autonomous System and Software Program (WASP) funded by Knut and Alice Wallenberg Foundation, Göran Gustafsson Stiftelse. JT is fully funded by the Wenner-Gren Foundation. JH is partially supported by VR K825930053. RR is partially supported by MultipleMS. The collaboration agreement between EPFL and University of Aberdeen played a role in the design of the neuron spiking analysis and in providing the data required, i.e. the neuronal network and the spiking activity. Open access funding provided by Karolinska Institute. | en |
dc.format.extent | 18 | |
dc.language.iso | eng | |
dc.relation.ispartof | BMC Bioinformatics | en |
dc.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. | en |
dc.subject | Topological data analysis | en |
dc.subject | machine learning | en |
dc.subject | multiple measurement analysis | en |
dc.subject | Machine learning | en |
dc.subject | Multiple measurement analysis | en |
dc.subject | Trees/anatomy & histology | en |
dc.subject | Humans | en |
dc.subject | Rats | en |
dc.subject | Support Vector Machine | en |
dc.subject | Machine Learning | en |
dc.subject | Algorithms | en |
dc.subject | Animals | en |
dc.subject | Lasers | en |
dc.subject | Computer Simulation | en |
dc.subject | Data Analysis | en |
dc.subject | QA Mathematics | en |
dc.subject | Applied Mathematics | en |
dc.subject | Molecular Biology | en |
dc.subject | Structural Biology | en |
dc.subject | Biochemistry | en |
dc.subject | Computer Science Applications | en |
dc.subject.lcc | QA | en |
dc.title | A topological data analysis based classification method for multiple measurements | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Mathematical Science | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1186/s12859-020-03659-3 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85088852643&partnerID=8YFLogxK | en |
dc.identifier.vol | 21 | en |