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, mak...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341661/
https://www.ncbi.nlm.nih.gov/pubmed/30665349
http://dx.doi.org/10.1186/s12859-019-2610-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341661/
https://www.ncbi.nlm.nih.gov/pubmed/30665349
http://dx.doi.org/10.1186/s12859-019-2610-2

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