PMID- 25988771
OWN - NLM
STAT- MEDLINE
DCOM- 20160211
LR  - 20150615
IS  - 1364-5528 (Electronic)
IS  - 0003-2654 (Linking)
VI  - 140
IP  - 13
DP  - 2015 Jul 7
TI  - Analysis of multi-source metabolomic data using joint and individual variation 
      explained (JIVE).
PG  - 4521-9
LID - 10.1039/c5an00706b [doi]
AB  - Metabolic profiling is increasingly being used for understanding biological 
      processes but there is no single analytical technique that provides a complete 
      quantitative or qualitative profiling of the metabolome. Data fusion (i.e. joint 
      analysis of data from multiple sources) has the potential to circumvent this 
      issue facilitating knowledge discovery and reliable biomarker identification. 
      Another field of application of data fusion is the simultaneous analysis of 
      metabolomic changes through several biofluids or tissues. However, metabolomics 
      typically deals with large datasets, with hundreds to thousands of variables and 
      the identification of shared and individual factors or structures across multiple 
      sources is challenging due to the high variable to sample ratios and differences 
      in intensity and noise range. In this work we apply a recent method, Joint and 
      Individual Variation Explained (JIVE), for the integrated unsupervised analysis 
      of metabolomic profiles from multiple data sources. This method separates the 
      shared patterns among data sources (i.e. the joint structure) from the individual 
      structure of each data source that is unrelated to the joint structure. Two 
      examples are described to show the applicability of JIVE for the simultaneous 
      analysis of multi-source data using: (i) plasma samples subjected to different 
      analytical techniques, sample treatment and measurement conditions; and (ii) 
      plasma and urine samples subjected to liquid chromatography-mass spectrometry 
      measured using two ionization conditions.
FAU - Kuligowski, Julia
AU  - Kuligowski J
AD  - Neonatal Research Centre, Health Research Institute La Fe, Valencia, Spain.
FAU - Perez-Guaita, David
AU  - Perez-Guaita D
FAU - Sanchez-Illana, Angel
AU  - Sanchez-Illana A
FAU - Leon-Gonzalez, Zacarias
AU  - Leon-Gonzalez Z
FAU - de la Guardia, Miguel
AU  - de la Guardia M
FAU - Vento, Maximo
AU  - Vento M
FAU - Lock, Eric F
AU  - Lock EF
FAU - Quintas, Guillermo
AU  - Quintas G
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Analyst
JT  - The Analyst
JID - 0372652
SB  - IM
MH  - Blood Chemical Analysis
MH  - Humans
MH  - Metabolomics/*methods
MH  - Software
MH  - Statistics as Topic/*methods
MH  - Urinalysis
EDAT- 2015/05/20 06:00
MHDA- 2016/02/13 06:00
CRDT- 2015/05/20 06:00
PHST- 2015/05/20 06:00 [entrez]
PHST- 2015/05/20 06:00 [pubmed]
PHST- 2016/02/13 06:00 [medline]
AID - 10.1039/c5an00706b [doi]
PST - ppublish
SO  - Analyst. 2015 Jul 7;140(13):4521-9. doi: 10.1039/c5an00706b.