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Output details

11 - Computer Science and Informatics

University of Exeter

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Output 8 of 38 in the submission
Article title

Aligning extracted LC-MS peak lists via density maximization

Type
D - Journal article
Title of journal
Metabolomics
Article number
-
Volume number
8
Issue number
S1
First page of article
175
ISSN of journal
1573-3890
Year of publication
2011
URL
-
Number of additional authors
5
Additional information

<28> The journal is an important one in the area of metabolomics. Aligning many metabolite profiles for compound identification has been a difficult problem. Most commercial packages and published tools fail to provide proper alignment. This algorithm established a new methodology for metabolite alignment based on modern metabolite technology. To avoid heuristic alignment, we instead introduced a density-based optimisation procedure, which solves the problem of alignment bias. Since publication, the method has been used by local researchers as well Marine Chemistry and Geochemistry, USA and University of Glasgow.

Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-