The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
464
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Biometrics Section
|
Abstract - #303252 |
Title:
|
Spatial Clustering for Biomarker Discovery in Nuclear Magnetic Resonance-Based Metabolomics Data
|
Author(s):
|
Xu Han*+ and Genevera I. Allen and Mirjana Maletic-Savatic
|
Companies:
|
Baylor College of Medicine and Baylor College of Medicine/Rice University and Baylor College of Medicine
|
Address:
|
Neurological Research Institute,, Houston, TX, 77030,
|
Keywords:
|
spatial clustering ;
biomarker discovery ;
pattern recognition ;
metabolomics
|
Abstract:
|
NMR spectroscopy technology produces high-dimensional metabolomic profiles that are mixtures of several latent metabolites often resonating at multiple chemical shifts. To aid in biomarker discovery, the spectrum must be grouped into candidate metabolite regions. We propose to group these variables into spatial clusters, or contiguous sets of variables exhibiting high correlation. The average pair-wise correlation of these contiguous sets is compared to a permutation null distribution obtained by permuting the order of the variables. The optimal threshold used to determine the extent of the spatial clusters is obtained by comparing the average within-cluster correlation to that observed in the original spectrum. We present simulated and real-data examples illustrating the utility of our approach in discovering candidate metabolites from NMR spectroscopy data.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.