Mathematical Approaches to the NMR Peak-Picking Problem

Handle URI:
http://hdl.handle.net/10754/550819
Title:
Mathematical Approaches to the NMR Peak-Picking Problem
Authors:
Gao, Xin ( 0000-0002-7108-3574 )
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Mathematical Approaches to the NMR Peak-Picking Problem 2012, 01 (01) Journal of Applied & Computational Mathematics
Publisher:
OMICS
Journal:
Journal of Applied & Computational Mathematics
Issue Date:
24-Mar-2012
DOI:
10.4172/2168-9679.1000e103
Type:
Article
ISSN:
21689679
Additional Links:
http://www.omicsgroup.org/journals/mathematical-approaches-to-the-nmr-peak-picking-problem-2168-9679.1000e103.php?aid=5517
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGao, Xinen
dc.date.accessioned2015-04-28T12:10:55Zen
dc.date.available2015-04-28T12:10:55Zen
dc.date.issued2012-03-24en
dc.identifier.citationMathematical Approaches to the NMR Peak-Picking Problem 2012, 01 (01) Journal of Applied & Computational Mathematicsen
dc.identifier.issn21689679en
dc.identifier.doi10.4172/2168-9679.1000e103en
dc.identifier.urihttp://hdl.handle.net/10754/550819en
dc.publisherOMICSen
dc.relation.urlhttp://www.omicsgroup.org/journals/mathematical-approaches-to-the-nmr-peak-picking-problem-2168-9679.1000e103.php?aid=5517en
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.titleMathematical Approaches to the NMR Peak-Picking Problemen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalJournal of Applied & Computational Mathematicsen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorGao, Xinen
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