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Fast metabolite identification with Input Output Kernel Regression

Motivation: An important problematic of metabolomics is to identify metabolites using tandem mass spectrometry data. Machine learning methods have been proposed recently to solve this problem by predicting molecular fingerprint vectors and matching these fingerprints against existing molecular struc...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Bioinformatics
Päätekijät: Brouard, Céline, Shen, Huibin, Dührkop, Kai, d'Alché-Buc, Florence, Böcker, Sebastian, Rousu, Juho
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2016
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4908330/
https://ncbi.nlm.nih.gov/pubmed/27307628
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw246
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