Assessment of peak origin and purity in one-dimensional chromatography by experimental design and heuristic evolving latent projections
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Yi-Zeng Liang | Olav M. Kvalheim | Yizeng Liang | O. Kvalheim | R. Andersson | Roger Andersson | Markku Hämäläinen | Markku Hämäläinen
[1] O. Theander,et al. Multivariate calibration in the determination of acetylated aldoses by g.l.c. , 1990 .
[2] H. R. Keller,et al. Evolving factor analysis in the presence of heteroscedastic noise , 1992 .
[3] R. Brereton,et al. Resolution of strongly overlapping two‐way multicomponent data by means of heuristic evolving latent projections , 1993 .
[4] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[5] Agnar Höskuldsson,et al. Determination of a multivariate detection limit and local chemical rank by designing a non‐parametric test from the zero‐component regions , 1993 .
[6] Yizeng Liang,et al. Heuristic evolving latent projections: resolving two-way multicomponent data. 1. Selectivity, latent-projective graph, datascope, local rank, and unique resolution , 1992 .
[7] Yizeng Liang,et al. Deconvolution in one-dimensional chromatography by heuristic evolving latent projections of whole profiles retention time shifted by simplex optimization of cross-correlation between target peaks , 1993 .
[8] H. R. Keller,et al. Heuristic evolving latent projections: resolving two-way multicomponent data. 2. Detection and resolution of minor constituents , 1992 .