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EDAmame is an interactive tool that simplifies initial analysis and visualization of these datasets, providing insights into data quality and feature relationships. By leveraging open-source machine learning frameworks in R, EDAmame allows researchers to perform effective exploratory data analysis without command-line or coding requirements.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>A limited online version can be accessed at https:\/\/edamame.org.au\/ or can be downloaded from https:\/\/doi.org\/10.5281\/zenodo.15356492. The app is developed in R Shiny and implements tidyverse and tidymodels packages.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf340","type":"journal-article","created":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T01:15:27Z","timestamp":1751073327000},"source":"Crossref","is-referenced-by-count":3,"title":["EDAmame: interactive exploratory data analyses with explainable models"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3066-701X","authenticated-orcid":false,"given":"Aaron","family":"Chuah","sequence":"first","affiliation":[{"name":"Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]},{"name":"Division of Genome Sciences and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4888-7216","authenticated-orcid":false,"given":"Tim C","family":"Hewitt","sequence":"additional","affiliation":[{"name":"Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"given":"Sidra A","family":"Ali","sequence":"additional","affiliation":[{"name":"Division of Genome Sciences and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"given":"Maryam","family":"May","sequence":"additional","affiliation":[{"name":"Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"given":"Tony","family":"Xu","sequence":"additional","affiliation":[{"name":"Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3279-3634","authenticated-orcid":false,"given":"Daniel","family":"Christiadi","sequence":"additional","affiliation":[{"name":"Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"given":"Philip Y -I","family":"Choi","sequence":"additional","affiliation":[{"name":"Division of Genome Sciences and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]},{"name":"Canberra Health Services, Canberra Hospital, Garran, ACT 2605,","place":["Australia"]}]},{"given":"Elizabeth E","family":"Gardiner","sequence":"additional","affiliation":[{"name":"Division of Genome Sciences and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3922-6376","authenticated-orcid":false,"given":"T Daniel","family":"Andrews","sequence":"additional","affiliation":[{"name":"Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601,","place":["Australia"]},{"name":"College of Engineering and Computer Science, Australian National University, Canberra, ACT 2601,","place":["Australia"]}]}],"member":"286","published-online":{"date-parts":[[2025,6,20]]},"reference":[{"key":"2025070408274433800_btaf340-B1","doi-asserted-by":"crossref","first-page":"6679","DOI":"10.1609\/aaai.v35i8.16826","article-title":"TabNet: attentive interpretable tabular learning","volume":"35","author":"Arik","year":"2021","journal-title":"AAAI"},{"key":"2025070408274433800_btaf340-B2","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.21105\/joss.01798","article-title":"modelStudio: interactive studio with explanations for ML predictive models","volume":"4","author":"Baniecki","year":"2019","journal-title":"JOSS"},{"key":"2025070408274433800_btaf340-B3","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1186\/1471-2288-14-118","article-title":"Handling missing data in RCTs; 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