BPG: Seamless, automated and interactive visualization of scientific data

Background We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. Results This open-source package includes multiple methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, makin...

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Veröffentlicht in:	BMC bioinformatics Jg. 20; H. 1; S. 42 - 5
Hauptverfasser:	P’ng, Christine, Green, Jeffrey, Chong, Lauren C., Waggott, Daryl, Prokopec, Stephenie D., Shamsi, Mehrdad, Nguyen, Francis, Mak, Denise Y. F., Lam, Felix, Albuquerque, Marco A., Wu, Ying, Jung, Esther H., Starmans, Maud H. W., Chan-Seng-Yue, Michelle A., Yao, Cindy Q., Liang, Bianca, Lalonde, Emilie, Haider, Syed, Simone, Nicole A., Sendorek, Dorota, Chu, Kenneth C., Moon, Nathalie C., Fox, Natalie S., Grzadkowski, Michal R., Harding, Nicholas J., Fung, Clement, Murdoch, Amanda R., Houlahan, Kathleen E., Wang, Jianxin, Garcia, David R., de Borja, Richard, Sun, Ren X., Lin, Xihui, Chen, Gregory M., Lu, Aileen, Shiah, Yu-Jia, Zia, Amin, Kearns, Ryan, Boutros, Paul C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 21.01.2019 BioMed Central Ltd BMC
Schlagworte:	Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data Analysis Data processing Data-visualization Humans image analysis and data visualization Imaging Information visualization Interactive plotting Life Sciences Methods Microarrays R (Programming language) Simulation Training - methods Software Statistical software Visualization (Computer) Web-resources Canada Interactive plotting Software Web-resources Data-visualization
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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