{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-enhanced-ma-plot-with-r-shiny-to-ease","title":"An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data","arxiv_id":"2012.04411","date":"2020-12-08","proceeding":null,"authors":["Ali Sheharyar","Talar Boghos Yacoubian","Dina Aljogol","Borbala Mifsud","Dena Al Thani","Michael Aupetit"],"abstract":"MA plots are used to analyze the genome-wide differences in gene expression between two distinct biological conditions. An MA plot is usually rendered as a static scatter plot. Our interview with 3 experts in genomics showed that we could improve the usability of this plot by adding interactive analytic features. In this work we present the design study of the enhanced MA plot.","url_abs":"https://arxiv.org/abs/2012.04411v1","url_pdf":"https://arxiv.org/pdf/2012.04411v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"an-enhanced-ma-plot-with-r-shiny-to-ease","repo_url":"https://github.com/alisheharyar/Enhanced_MA_Plot","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}