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}
}
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