Compound Identification Using Partial and Semipartial Correlations for Gas Chromatography–Mass Spectrometry Data-Reference-Cited by-同舟云学术

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Compound Identification Using Partial and Semipartial Correlations for Gas Chromatography–Mass Spectrometry Data

Published:2012-07-26 Issue:15 Volume:84 Page:6477-6487
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Kim Seongho¹,Koo Imhoi¹²,Jeong Jaesik³,Wu Shiwen²,Shi Xue²,Zhang Xiang²

Affiliation:

1. Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, Kentucky 40292, United States

2. Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, United States

3. Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, Indiana 46202, United States

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac301350n

Reference21 articles.

1. Similarity among Tandem Mass Spectra from Proteomic Experiments: Detection, Significance, and Utility

2. Improving large-scale proteomics by clustering of mass spectrometry data

3. Using Annotated Peptide Mass Spectrum Libraries for Protein Identification

4. Analysis of Peptide MS/MS Spectra from Large-Scale Proteomics Experiments Using Spectrum Libraries

5. Optimization and testing of mass spectral library search algorithms for compound identification

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