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Visualization of Biomedical Data Using R

Bibliographic Data

ID5968047
AuthorsL Egoshin, V L Egoshin, В Л Егошин (Semey Medical University), V Ivanov, С В Иванов (0000-0001-9532-7150, First Pavlov State Medical University of St. Petersburg), Nadezhda V Savvina (0000-0003-2441-6193, North-Eastern Federal University), B Kalmakhanov, Sundetgali Kalmakhanov (0000-0001-5198-5506, Al-Farabi Kazakh National University), A M Grjibovski, Andrej М Grjibovski (0000-0002-5464-0498, North-Eastern Federal University)
Year2018
Volume25
Issue8
Pages52-64
Publication date2018-08-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEkologiya Cheloveka (Human Ecology (JOURNAL)
Journal identifiersISSN: 1728-0869 • E-ISSN: 2949-1444
PublisherECO-Vector LLC (PUBLISHER • RU)
DOI10.33396/1728-0869-2018-8-52-64
OpenAlexW2920893279
LanguageEN
References cited4

The paper presents basic principles of using R software for visualization of biomedical research data. Basic types of graphs and algorithms for graph creation are presented. Specification of using different graph types in implementation of different data types is described

Component-based software engineering · Data mining · Data science · Data type · Data visualization · Graph · Graph drawing · Programming language · Software development · Software visualization · Visualization · Biomedical Text Mining and Ontologies · Computer Science · Genetics, Bioinformatics, and Biomedical Research · Software · Theoretical Computer Science

  • Exploratory data analysis

    John Wilder Tukey•Exploratory data analysis•1977

  • Ggplot2

    Open Access•Hadley Wickham•Ggplot2•2009

  • Types of Research in Health Sciences

    Open Access•K K Kholmatova, Kamila Kholmatova et al.•Ekologiya Cheloveka (Human Ecology•2016

  • Arkhangelsk County Birth Registry as an Inportant Source of Information for Research and Healthcare

    Open Access•Anna A Usynina, Jon Oyvind Odland et al.•Ekologiya Cheloveka (Human Ecology•2017

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
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