临床环境可视化研究的棘手难题:基因组学案例研究。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2023-03-29 eCollection Date: 2023-01-01 DOI:10.3389/fbinf.2023.1112649
Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
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引用次数: 0

摘要

在这篇视角文章中,我们讨论了生物信息学数据可视化的某类研究,即针对临床使用的方法。我们认为,在这一子领域会出现更多复杂的挑战,尤其是在基因组学领域。我们在此描述了临床基因组学领域特征描述工作中出现的四个挑战领域。我们还列举了案例研究中发现的可视化研究机会,以应对基因组学中的临床挑战。这些发现与影像诊断领域的经验有相似之处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The thorny complexities of visualization research for clinical settings: A case study from genomics.

The thorny complexities of visualization research for clinical settings: A case study from genomics.

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, 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.

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