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The thorny complexities of visualization research for clinical settings: A case study from genomics
In this perspective article we discuss a certain type of research on visualization for bioinformatics data, namely, methods targeting clinical use. We argue that in this subarea additional complex challenges come into play, particularly so in genomics. We here describe four such challenge areas, eli...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090312/ https://www.ncbi.nlm.nih.gov/pubmed/37063648 http://dx.doi.org/10.3389/fbinf.2023.1112649 |
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author | Ståhlbom, Emilia Molin, Jesper Ynnerman, Anders Lundström, Claes |
author_facet | Ståhlbom, Emilia Molin, Jesper Ynnerman, Anders Lundström, Claes |
author_sort | Ståhlbom, Emilia |
collection | PubMed |
description | In this perspective article we discuss a certain type of research on visualization for bioinformatics data, namely, methods targeting clinical use. We argue that in this subarea additional complex challenges come into play, particularly so in genomics. We here describe four such challenge areas, elicited from a domain characterization effort in clinical genomics. We also list opportunities for visualization research to address clinical challenges in genomics that were uncovered in the case study. The findings are shown to have parallels with experiences from the diagnostic imaging domain. |
format | Online Article Text |
id | pubmed-10090312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100903122023-04-13 The thorny complexities of visualization research for clinical settings: A case study from genomics Ståhlbom, Emilia Molin, Jesper Ynnerman, Anders Lundström, Claes Front Bioinform Bioinformatics In this perspective article we discuss a certain type of research on visualization for bioinformatics data, namely, methods targeting clinical use. We argue that in this subarea additional complex challenges come into play, particularly so in genomics. We here describe four such challenge areas, elicited from a domain characterization effort in clinical genomics. We also list opportunities for visualization research to address clinical challenges in genomics that were uncovered in the case study. The findings are shown to have parallels with experiences from the diagnostic imaging domain. Frontiers Media S.A. 2023-03-29 /pmc/articles/PMC10090312/ /pubmed/37063648 http://dx.doi.org/10.3389/fbinf.2023.1112649 Text en Copyright © 2023 Ståhlbom, Molin, Ynnerman and Lundström. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Ståhlbom, Emilia Molin, Jesper Ynnerman, Anders Lundström, Claes The thorny complexities of visualization research for clinical settings: A case study from genomics |
title | The thorny complexities of visualization research for clinical settings: A case study from genomics |
title_full | The thorny complexities of visualization research for clinical settings: A case study from genomics |
title_fullStr | The thorny complexities of visualization research for clinical settings: A case study from genomics |
title_full_unstemmed | The thorny complexities of visualization research for clinical settings: A case study from genomics |
title_short | The thorny complexities of visualization research for clinical settings: A case study from genomics |
title_sort | thorny complexities of visualization research for clinical settings: a case study from genomics |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090312/ https://www.ncbi.nlm.nih.gov/pubmed/37063648 http://dx.doi.org/10.3389/fbinf.2023.1112649 |
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