Stronger findings from mass spectral data through multi-peak modeling

Show full item record



Permalink

http://hdl.handle.net/10138/162779

Citation

Suvitaival , T , Rogers , S & Kaski , S 2014 , ' Stronger findings from mass spectral data through multi-peak modeling ' , BMC Bioinformatics , vol. 15 , 208 . https://doi.org/10.1186/1471-2105-15-208

Title: Stronger findings from mass spectral data through multi-peak modeling
Author: Suvitaival, Tommi; Rogers, Simon; Kaski, Samuel
Contributor organization: Helsinki Institute for Information Technology
Department of Computer Science
Statistical Machine Learning and Bioinformatics research group / Samuel Kaski
The Finnish Center of Excellence in Computational Inference Research (COIN)
Date: 2014-06-19
Language: eng
Number of pages: 11
Belongs to series: BMC Bioinformatics
ISSN: 1471-2105
DOI: https://doi.org/10.1186/1471-2105-15-208
URI: http://hdl.handle.net/10138/162779
Subject: ANOVA-type modeling
Bayesian modeling
Clustering
Mass spectrometry
Metabolomics
Lipidomics
Nonparametric Bayes
METABOLITE IDENTIFICATION
SPECTROMETRY
METABOLOMICS
LIPIDOMICS
113 Computer and information sciences
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


Files in this item

Total number of downloads: Loading...

Files Size Format View
art_3A10.1186_2F1471_2105_15_208.pdf 1.226Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record