{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T01:20:15Z","timestamp":1768094415158,"version":"3.49.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100018970","name":"Universitas Telkom","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018970","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3567153","type":"journal-article","created":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T17:04:26Z","timestamp":1746551066000},"page":"80133-80148","source":"Crossref","is-referenced-by-count":2,"title":["Pretreatment Methods for Enhancing Machine Learning Performance on Metabolomics Data"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8331-5793","authenticated-orcid":false,"family":"Rustam","sequence":"first","affiliation":[{"name":"Department of Telecommunication Engineering, School of Electrical Engineering, Telkom University, Bandung, West Java, Indonesia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbl012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1039\/b618553n"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.sajb.2020.01.040"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013713905833"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/jxb\/eri069"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nbt823"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.tibtech.2008.05.008"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.copbio.2015.03.015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2019.01427"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmet.2016.09.018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-7-142"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0003-2670(92)85422-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1021\/ac00073a010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-005-1109-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10295-005-0231-4"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-29407-6_5"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e09715"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-323-67538-3.00001-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2020.10.011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5089-8_55"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-019-1612-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/metabo10060243"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymben.2020.10.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/metabo8010004"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fmolb.2021.634141"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/biot.201800416"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-015-0816-5"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/s12915-017-0462-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41564-018-0306-4"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/bjc.2015.414"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/cem.773"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1002\/0471725331","volume-title":"A User\u2019s Guide To Principal Components","author":"Jackson","year":"1991"},{"key":"ref33","volume-title":"Introduction To Multi-and Megavariate Data Analysis Using Projection Methods (PCA & PLS)","author":"Eriksson","year":"1999"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/S0003-2670(03)00094-1"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1021\/ac051080y"},{"key":"ref36","first-page":"392","article-title":"Assumptions of analysis of variance","volume-title":"Proc. Biometry","author":"Sokal"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2307\/2699986"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1993.298623"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9326-7_5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2020373.2020388"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-00a"},{"issue":"1","key":"ref44","first-page":"144","article-title":"Classification and regression trees","volume":"19","author":"Praagman","year":"1985","journal-title":"Biometrics"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.2.141"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.14311\/AP.2020.60.0440"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.14311\/AP.2021.61.0364"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10988600.pdf?arnumber=10988600","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:45:18Z","timestamp":1747071918000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10988600\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3567153","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}