952 results on '"Liang, Yi-Zeng"'
Search Results
2. Fisher optimal subspace shrinkage for block variable selection with applications to NIR spectroscopic analysis
3. Incorporating variable importance into kernel PLS for modeling the structure–activity relationship
4. Chemometrics applied to quality control and metabolomics for traditional Chinese medicines
5. Boosting in block variable subspaces: An approach of additive modeling for structure–activity relationship
6. Variable importance analysis based on rank aggregation with applications in metabolomics for biomarker discovery
7. A bootstrapping soft shrinkage approach for variable selection in chemical modeling
8. The equivalence of partial least squares and principal component regression in the sufficient dimension reduction framework
9. A New Methodology for Uncovering the Bioactive Fractions in Herbal Medicine Using the Approach of Quantitative Pattern-Activity Relationship
10. Model population analysis in chemometrics
11. In silico toxicity prediction of chemicals from EPA toxicity database by kernel fusion-based support vector machines
12. Weighted variable kernel support vector machine classifier for metabolomics data analysis
13. A new strategy to prevent over-fitting in partial least squares models based on model population analysis
14. Systematic and practical solvent system selection strategy based on the nonrandom two-liquid segment activity coefficient model for real-life counter-current chromatography separation
15. Using variable combination population analysis for variable selection in multivariate calibration
16. A novel strategy for quantitative analysis of the formulated complex system using chromatographic fingerprints combined with some chemometric techniques
17. Mixture analysis using reverse searching and non-negative least squares
18. Using nonrandom two-liquid model for solvent system selection in counter-current chromatography
19. Exploring metabolic syndrome serum profiling based on gas chromatography mass spectrometry and random forest models
20. Application of random forests to select premium quality vegetable oils by their fatty acid composition
21. QSAR analysis of the effects of OATP1B1 transporter by structurally diverse natural products using a particle swarm optimization-combined multiple linear regression approach
22. A simple idea on applying large regression coefficient to improve the genetic algorithm-PLS for variable selection in multivariate calibration
23. A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration
24. Selective of informative metabolites using random forests based on model population analysis
25. Using random forest to classify T-cell epitopes based on amino acid properties and molecular features
26. Pressor mechanism evaluation for phytochemical compounds using in silico compound–protein interaction prediction
27. Simultaneous separation and determination of four main isoflavonoids in Astragali Radix by an isocratic LC/ESI-MS method
28. Informative metabolites identification by variable importance analysis based on random variable combination
29. Large-scale prediction of human kinase–inhibitor interactions using protein sequences and molecular topological structures
30. An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration
31. Exploring the relationship between 5′AMP-activated protein kinase and markers related to type 2 diabetes mellitus
32. Application of fast Fourier transform cross-correlation and mass spectrometry data for accurate alignment of chromatograms
33. The continuity of sample complexity and its relationship to multivariate calibration: A general perspective on first-order calibration of spectral data in analytical chemistry
34. A model population analysis method for variable selection based on mutual information
35. Effects of injection volume on chromatographic features and resolution in the process of counter-current chromatography
36. A novel tree kernel support vector machine classifier for modeling the relationship between bioactivity and molecular descriptors
37. Large-scale prediction of drug–target interactions using protein sequences and drug topological structures
38. Retention Indices for Identification of Aroma Compounds by GC: Development and Application of a Retention Index Database
39. Kernel k-nearest neighbor algorithm as a flexible SAR modeling tool
40. Multiscale peak alignment for chromatographic datasets
41. Comparison of quantitative structure–retention relationship models on four stationary phases with different polarity for a diverse set of flavor compounds
42. Peak alignment using wavelet pattern matching and differential evolution
43. Development of the chromatographic fingerprint of Scutellaria barbata D. Don by GC–MS combined with Chemometrics methods
44. Exploring nonlinear relationships in chemical data using kernel-based methods
45. A novel kernel Fisher discriminant analysis: Constructing informative kernel by decision tree ensemble for metabolomics data analysis
46. In silico classification of human maximum recommended daily dose based on modified random forest and substructure fingerprint
47. A comprehensive investigation of proline fragmentation behavior in low-energy collision-induced dissociation peptide mass spectra
48. Trace amounts of impurities in electrolytic manganese metal by sector field inductively coupled plasma mass spectrometry
49. Automatic feature subset selection for decision tree-based ensemble methods in the prediction of bioactivity
50. The boosting: A new idea of building models
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