{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T15:48:15Z","timestamp":1780501695538,"version":"3.54.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003093","name":"Malaysia\u2019s Ministry of Higher Education via a research grant","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of Malaya, through the Trans-Discipline Research Grant Scheme","award":["TR001D-2018A"],"award-info":[{"award-number":["TR001D-2018A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3050838","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T01:59:41Z","timestamp":1610503181000},"page":"23565-23578","source":"Crossref","is-referenced-by-count":52,"title":["Feature Extension of Gut Microbiome Data for Deep Neural Network-Based Colorectal Cancer Classification"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5961-4830","authenticated-orcid":false,"given":"Mwenge","family":"Mulenga","sequence":"first","affiliation":[{"name":"School of Science, Engineering and Technology, Mulungushi University, Kabwe, Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sameem","family":"Abdul Kareem","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4758-5400","authenticated-orcid":false,"given":"Aznul","family":"Qalid Md Sabri","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2797-3668","authenticated-orcid":false,"given":"Manjeevan","family":"Seera","sequence":"additional","affiliation":[{"name":"Department of Econometrics and Business Statistics, School of Business, Monash University Malaysia, Subang Jaya, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suresh","family":"Govind","sequence":"additional","affiliation":[{"name":"Department of Parasitology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chandramathi","family":"Samudi","sequence":"additional","affiliation":[{"name":"Department of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saharuddin Bin","family":"Mohamad","sequence":"additional","affiliation":[{"name":"Faculty of Science, Institute of Biological Sciences, University of Malaya, Kuala Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.01205"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596746"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2870124"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s12275-020-0066-8"},{"key":"ref15","first-page":"118","article-title":"A hybrid machine learning approach for the phenotypic classification of metagenomic colon cancer reads based on kmer frequency and biomarker profiling","author":"kishk","year":"2019","journal-title":"Proc 9th Cairo Int Biomed Eng Conf (CIBEC)"},{"key":"ref37","first-page":"11127","author":"zou","year":"2018","journal-title":"A Sufficient Condition for Convergences of Adam and RMSProp"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s13073-016-0290-3"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.molstruc.2007.12.026"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2016.0180"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz394"},{"key":"ref11","first-page":"248","article-title":"An ensemble feature selection method based on deep forest for microbiome-wide association studies","author":"zhu","year":"2019","journal-title":"Proc IEEE Int Conf Bioinform Biomed (BIBM)"},{"key":"ref33","author":"mcmurdie","year":"2019","journal-title":"Package &#x2018;phyloseq &#x2019;"},{"key":"ref10","first-page":"1","article-title":"A framework for effective application of machine learning to microbiome-based classification problems","volume":"11","author":"top\u00e7uo?lu","year":"2020","journal-title":"MBio"},{"key":"ref32","author":"chollet","year":"2015","journal-title":"Keras Github"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1158\/1940-6207.CAPR-14-0129"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s13304-016-0359-y"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2015-309800"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3018151"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1004977"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08453-9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2017-314814"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s40168-018-0451-2"},{"key":"ref24","article-title":"Pattern analysis of genetics and genomics: A survey of the state-of-art","author":"chaki","year":"2019","journal-title":"Multimedia Tools Appl"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0087830"},{"key":"ref26","article-title":"Deep learning models for bacteria taxonomic classification of metagenomic data","volume":"19","author":"renda","year":"2018","journal-title":"BMC Bioinform"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7379-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2020.00393"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.179"},{"key":"ref21","first-page":"157","article-title":"Decreasing false assumption for improved breast cancer detection","volume":"16","author":"chowdhary","year":"2016","journal-title":"J Sci Arts Year"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3233547.3233696"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-47765-6"},{"key":"ref29","article-title":"Investigating the impact of data normalization on classification performance","volume":"97","author":"singh","year":"2019","journal-title":"Appl Soft Comput J"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1088-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0405-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2205-3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41522-018-0078-x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2407-12-43"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0406-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1128\/mSystems.00289-19"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-018-4637-6"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09319639.pdf?arnumber=9319639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T21:43:50Z","timestamp":1683927830000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9319639\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3050838","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}