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[41]Lu H-M, Liang Y-Z, Fu L, Xie H-L, Tang L-J, Wen M, Huang J-H.Using random forest to classify linear B-cell epitopes based on amino acid properties and molecular features[J].Biochimie, 2014, 103C: 1-6.
[42]Liang Y, Kell DB, Shen H, Dunn WB, Lu H.Comparative evaluation of software for the deconvolution of metabolomics data based on GC-TOF-MS[J].Trends in Analytical Chemistry, 2008, 27: 215-227.
[43]Lu H, Liang Y, Yun Y, Zhou X, Zhang Z, Ma P.Feature extraction from resolution perspective for gas chromatography-mass spectrometry datasets[J].RSC Advances, 2016, 6: 113997 - 114004.
[44]Liang Y-Z:, Hu Q-N, Huang J-H, Lu H-M, Xu Q-S, Liu S, Cao D-S.Large-scale prediction of drug–target interactions using protein sequences and drug topological structures[J].Analytica Chimica Acta, 2012, 752: 1-10.
[45]Liang Y, Yi L, Jin Y, Lu H, Zhang Z, Lin Z.Joint MS-based platforms for comprehensive comparison of rat plasma and serum metabolic profiling[J].Biomedical Chromatography, 2014, 28: 1235-1245.
[46]Liang Y-Z, Lu H-M, Zhang L-X, Hu Q-N, Xu Q-S, Wang B, Yi L-Z, Zeng M-M, Cao D-S.A novel kernel Fisher discriminant analysis: Constructing informative kernel by decision tree ensemble for metabolomics data analysis[J].Analytica Chimica Acta, 2011, 706: 97-104.
[47]Zhan D, Liang Y, Lu H, Zhang Z-M, Wen M, Zhang M.Robust alignment of chromatograms bystatistically analyzing shifts matrix generated by moving window fast Fourier transform cross-correlation[J].Journal of Separation Science, 2017, 38: 965–974.
[48]Zhang ZM, Lu HM, Ji HC.Pure ion chromatogram extraction via optimal k-means clustering[J].RSC Advances, 2016, 6: S6977-S6985.
[49]Liang Y, Zhang Z, Gan D, Lu H.Sample classification of GC-ToF-MS metabolomics data without the requirement for chromatographic deconvolution[J].Metabolomics, 2010, 7: 191-205.
[50]Liang Y-Z, Xu Q-S, Lu H-M, Cao D-S, Yan J, Xie H-L, Huang J-H.Interpretation of type 2 diabetes mellitus relevant GC-MS metabolomics fingerprints by using random forests[J].Analytical Methods, 2013, 5: 4883-4889.
[51]Yang Z-Y, Ye F, Zhou J, Xu D, Fan W, Liang Y-Z, Lu H-M, Chen X-Q, Zhang Z-M.Mixture analysis using reverse searching and non-negative least squares[J].Chemometrics and Intelligent Laboratory Systems, 2014, 137: 10-20.
[52]Liang Y-Z, Zhang L-X, Lu H-M, Zhao J-C, Yang Y-N, Xu Q-S, Hu Q-N, Cao D-S.In silico classification of human maximum recommended daily dose based on modified random forest and substructure fingerprint[J].Analytica Chimica Acta, 2011, 692: 50-56.
[53]Liang Y, Lu H, Wu W, Zhao X, Wei Y, Yun Y.A green method for the quantification of polysaccharides in Dendrobium officinale[J].RSC Advances, 2015, 5: 105057 - 105065.
[54]Liang Y-Z, Chen X-Q, Lu H-M, Yun Y-H, Qin Y-H, Ren D-B.Using nonrandom two-liquid model for solvent system selection in counter-current chromatography[J].Journal of chromatography A, 2014, 1355: 80-85..
[55]Liang Y-Z, Chen X-Q, Lu H-M, Yun Y-H, Qin Y-H, Ren D-B.Separation of nine compounds from Salvia plebeia R.Br. using two-step high-speed counter-current chromatography with different elution modes[J].Journal of Separation Science, 2014, 37: 2118-2125.
[56]Fan XQ, Wang Y, Zhang ZM, Lu HM, Liu YH, Xia Z, Fu CY.Qualitative analysis of major constituents from Xue Fu Zhu Yu Decoction using ultra high performance liquid chromatography with hybrid ion trap time-of-flight mass spectrometry.Journal of Separation Science, 2016, 39: 3457-3468.
[57]Liang Y, Lu H, Li X, Fu J.Analysis of volatile components in herbal pair Semen Persicae-Flos Carthami by GC-MS and chemometric resolution[J].Journal of Separation Science, 2012, 35: 2940-2948.
[58]Lu H, Zhang Z, Huang J, Cai P.A GC-MS study of the stability of rat serum metabolome during the sample preparation procedure[J].Analytical Methods, 2013, 5: 6807-6813.
[59]Chen S, Liang YZ, Lu HM.dentification and quality assessment of Houttuynia cordata injection using GC-MS fingerprint: A standardization approach[J].Journal of Ethnopharmacology, 2006, 105: 436-440.
[60]Liang Y, Lu H, He R, Yi Z, Shi S, Yi L.MeOx-TMS derivatization for GC-MS metabolic profiling of urine and application in the discrimination between normal C57BL/6J and type 2 diabetic KK-Ay mice[J].Analytical Methods, 2014, 6: 4380-4387.
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