Biomedical Data Visualization: Methods and Applications

193.1K

views

84

authors

15

articles

Biomedical Data Visualization: Methods and Applications

193.1K

views

84

authors

15

articles

Editorial

27 April 2022

Editorial: Biomedical Data Visualization: Methods and Applications

Tianzhi Wu

,

Chuan-Le Xiao

,

Tommy Tsan-Yuk Lam

and

Guangchuang Yu

4,043 views

4 citations

Editors

4

Guangchuang Yu

Southern Medical University

Tommy Tsan-Yuk Lam

The University of Hong Kong

Chuan-Le Xiao

Zhongshan Ophthalmic Center, Sun Yat-sen University

Meng Zhou

Wenzhou Medical University

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About

The rapid growth of biomedical data in both volume and complexity creates new challenges in presenting data effectively and accurately. This includes exploring data to reveal hidden information and presenting analysis findings. New visualization methods are being developed to address new emerging problems or provide new insights into old data types. Innovations in visualization will revolutionize how we think about our data and it is extremely important for biomedical research.

This Research Topic will focus on the data visualization methods that address a wide variety of biomedical research areas, including special areas that need highly tailed approaches. The goals of this research topic are to present novel methods or software tools and their applications in biomedical data visualization and seek to improve biomedical data visualization practice to increase the ability of understanding data insights and to promote science communication. We welcome Original Research Articles, Reviews, Mini Reviews, Case Reports and Perspective articles.

Areas of focus include but are not limited to:
• Overview and perspective on biomedical data visualization
• Data visualization methods to address common challenges of biomedical research
• Data visualization methods for special research areas, including metagenomics, single-cell sequencing and three-dimensional genomics
• Software tools for biomedical data visualization including standalone software, programming libraries and web-tools

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Editors

Guangchuang Yu

Southern Medical University

Tommy Tsan-Yuk Lam

The University of Hong Kong

Chuan-Le Xiao

Zhongshan Ophthalmic Center, Sun Yat-sen University

Meng Zhou

Wenzhou Medical University

Impact

193,122 Total views

147,394 Article views

32,923 Article downloads

12,805 Topic views

Published In

Frontiers in Genetics

Computational Genomics

Frontiers in Plant Science

Computational Genomics

Frontiers in Bioengineering and Biotechnology

Computational Genomics

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