A Method for Automated Data Extraction and Peak Identification from Large GC-MS Data Sets Using Multivariate Analysis.
Conference
·
OSTI ID:1255766
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1255766
- Report Number(s):
- SAND2015-4190C; 590303
- Country of Publication:
- United States
- Language:
- English
Similar Records
Analysis of GC-MS Nylon 6.6 Data Using Multivariate Curve Resolution - Alternating Least Squares.
PARAFAC Analysis of Nylon 6.6 GC-MS data.
A novel, fast factor analysis method for two-way GC-MS data.
Conference
·
Thu May 01 00:00:00 EDT 2014
·
OSTI ID:1146289
PARAFAC Analysis of Nylon 6.6 GC-MS data.
Conference
·
Sat Nov 30 23:00:00 EST 2013
·
OSTI ID:1299156
A novel, fast factor analysis method for two-way GC-MS data.
Conference
·
Mon Nov 01 00:00:00 EDT 2010
·
OSTI ID:1028458