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MRS has been widely used for the study of brain tumors, both preoperatively and during follow\u2010up. In this study, we investigated the performance of a range of variants of unsupervised matrix factorization methods of the non\u2010negative matrix underapproximation (NMU) family, namely, sparse NMU, global NMU, and recursive NMU, and compared them with convex non\u2010negative matrix factorization (C\u2010NMF), which has previously shown a good performance on brain tumor diagnostic support problems using MRS data. The purpose of the investigation was 2\u2010fold: first, to ascertain the differences among the sources extracted by these methods; and second, to compare the influence of each method in the diagnostic accuracy of the classification of brain tumors, using them as feature extractors. We discovered that, first, NMU variants found meaningful sources in terms of biological interpretability, but representing parts of the spectrum, in contrast to C\u2010NMF; and second, that NMU methods achieved better classification accuracy than C\u2010NMF for the classification tasks when one class was not meningioma.<\/jats:p>","DOI":"10.1002\/nbm.5020","type":"journal-article","created":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T11:42:51Z","timestamp":1692186171000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A comparison of non\u2010negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors"],"prefix":"10.1002","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5436-4665","authenticated-orcid":false,"given":"Gulnur","family":"Ungan","sequence":"first","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red (CIBER)  Madrid Spain"},{"name":"Departament de Bioqu\u00edmica i Biologia Molecular and Institut de Biotecnologia i Biomedicina (IBB) Universitat Aut\u00f2noma de Barcelona (UAB)  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2510-2671","authenticated-orcid":false,"given":"Carles","family":"Ar\u00fas","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red (CIBER)  Madrid Spain"},{"name":"Departament de Bioqu\u00edmica i Biologia Molecular and Institut de Biotecnologia i Biomedicina (IBB) Universitat Aut\u00f2noma de Barcelona (UAB)  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9843-1911","authenticated-orcid":false,"given":"Alfredo","family":"Vellido","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red (CIBER)  Madrid Spain"},{"name":"IDEAI\u2010UPC Intelligent Data Science and Artificial Intelligence Research Center Universitat Polit\u00e8cnica de Catalunya (UPC) BarcelonaTech  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3316-9027","authenticated-orcid":false,"given":"Margarida","family":"Juli\u00e0\u2010Sap\u00e9","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red (CIBER)  Madrid Spain"},{"name":"Departament de Bioqu\u00edmica i Biologia Molecular and Institut de Biotecnologia i Biomedicina (IBB) Universitat Aut\u00f2noma de Barcelona (UAB)  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,8,15]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.1016"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.3439"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.1782"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.1797"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/(sici)1099\u20101492(199806\/08)11:4\/5%3C177::aid\u2010nbm534%3E3.0.co;2\u2010u"},{"key":"e_1_2_9_7_1","unstructured":"Cancer of the brain and other nervous system\u2014Cancer Stat Facts SEER. 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