Compound identification using partial and semipartial correlations for gas chromatography-mass spectrometry data.
Compound identification using partial and semipartial correlations for gas chromatography-mass spectrometry data.
复制标题
DOI:
10.1021/ac301350n
复制
发表时间:
2012-08-07
影响因子:
7.4
通讯作者:
Zhang, Xiang
中科院分区:
文献类型:
--
作者:
Kim, Seongho;Koo, Imhoi;Jeong, Jaesik;Wu, Shiwen;Shi, Xue;Zhang, Xiang
Compound identification is a key component of data analysis in the applications of gas chromatography–mass spectrometry (GC-MS). Currently, the most widely used compound identification is mass spectrum matching, in which dot product and its composite version are employed as spectral similarity measures. Several forms of transformations for fragment ion intensities have also been proposed to increase the accuracy of compound identification. In this study, we introduced partial and semi-partial correlations as mass spectral similarity measures and applied them to identify compounds along with different transformations of peak intensity. The mixture versions of the proposed method were also developed to further improve the accuracy of compound identification. To demonstrate the performance of the proposed spectral similarity measures, the National Institute of Standard Technology (NIST) mass spectral library and replicate spectral library were used as the reference library and the query spectra, respectively. Identification results showed that the mixture partial and semi-partial correlations always outperform both the dot-product and its composite measure. The mixture similarity with semi-partial correlation has the highest accuracy of 84.6% in compound identification with a transformation of (0.53, 1.3) for fragment ion intensity and m/z value, respectively.
登录
查看更多内容
影响因子:
7.4
作者:
Koo, Imhoi;Zhang, Xiang;Kim, Seongho
通讯作者:
Kim, Seongho
影响因子:
7.4
作者:
Tabb, DL;MacCoss, MJ;Yates, JR
通讯作者:
Yates, JR
DOI:
10.1016/1044-0305(94)87009-8
发表时间:
1994-09-01
影响因子:
3.2
作者:
STEIN, SE;SCOTT, DR
通讯作者:
SCOTT, DR
影响因子:
7.4
作者:
ATWATER, BL;STAUFFER, DB;PETERSON, DW
通讯作者:
PETERSON, DW
影响因子:
3.4
作者:
Beer, I;Barnea, E;Admon, A
通讯作者:
Admon, A