A new method to evaluate the similarity of chromatographic fingerprints: weighted pearson product-moment correlation coefficient.
The Pearson product-moment correlation coefficient is being used to evaluate the similarity of the high-performance liquid chromatographic fingerprints of traditional Chinese medicine (TCM) in China. It is confirmed that a large range of peak areas produced the wrong results. A new algorithm concerning weighted Pearson product-moment correlation coefficient is proposed in this article. The results for both real cases and simulated data sets show that the weighted Pearson product-moment correlation coefficients allow relatively larger differences for large values, smaller differences for small values, and more reliable results than the unweighted Pearson product-moment correlation coefficients. Weight selection depends on the specific scientific problem.
Liu
Yongsuo
Y
Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China.
Meng
Qinghua
Q
Chen
Rong
R
Wang
Jiansong
J
Jiang
Shumin
S
Hu
Yuzhu
Y