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Title: A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1255766
Report Number(s):
SAND2015-4190C
590303
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 63rd ASMS Conference on Mass Spectrometry and Allied Topics held May 31 - June 4, 2015 in St. Louis, MO.
Country of Publication:
United States
Language:
English

Citation Formats

Coon, Joshua Jeremiah, Van Benthem, Mark, Hochrein, James M., and Mowry, Curtis D. A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.. United States: N. p., 2015. Web.
Coon, Joshua Jeremiah, Van Benthem, Mark, Hochrein, James M., & Mowry, Curtis D. A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.. United States.
Coon, Joshua Jeremiah, Van Benthem, Mark, Hochrein, James M., and Mowry, Curtis D. 2015. "A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.". United States. https://www.osti.gov/servlets/purl/1255766.
@article{osti_1255766,
title = {A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.},
author = {Coon, Joshua Jeremiah and Van Benthem, Mark and Hochrein, James M. and Mowry, Curtis D.},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1255766}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 01 00:00:00 EDT 2015},
month = {Fri May 01 00:00:00 EDT 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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