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A deep learning architecture for combining and imputing heterogeneous metabolomics datasets.

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Title: A deep learning architecture for combining and imputing heterogeneous metabolomics datasets.
Authors: Celik S; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey., Can B; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey., Erdogan MA; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey., Cakmak A; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey. ali.cakmak@itu.edu.tr.
Source: BMC bioinformatics [BMC Bioinformatics] 2026 Jul 16. Date of Electronic Publication: 2026 Jul 16.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Celik+S%22">Celik S</searchLink>; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Can+B%22">Can B</searchLink>; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Erdogan+MA%22">Erdogan MA</searchLink>; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Cakmak+A%22">Cakmak A</searchLink>; Istanbul Technical University, 34467, Maslak, Istanbul, Turkey. ali.cakmak@itu.edu.tr.
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        Value: 10.1186/s12859-026-06560-7
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        Text: English
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      – TitleFull: A deep learning architecture for combining and imputing heterogeneous metabolomics datasets.
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            NameFull: Celik S
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            NameFull: Can B
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            – D: 16
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              Text: 2026 Jul 16
              Type: published
              Y: 2026
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