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Results: 1 to 20 of 117

1.

Application of self-organizing maps for the classification of chromatographic systems and prediction of values of chromatographic quantities.

Debeljak Z, Strapac M, Medić-Sarić M.

J Chromatogr A. 2001 Aug 3;925(1-2):31-40.

PMID:
11519815
[PubMed - indexed for MEDLINE]
2.

Self-organizing map quality control index.

Kittiwachana S, Ferreira DL, Fido LA, Thompson DR, Escott RE, Brereton RG.

Anal Chem. 2010 Jul 15;82(14):5972-82. doi: 10.1021/ac100383g.

PMID:
20557073
[PubMed - indexed for MEDLINE]
3.

Prediction of peak shape in hydro-organic and micellar-organic liquid chromatography as a function of mobile phase composition.

Baeza-Baeza JJ, Ruiz-Angel MJ, García-Alvarez-Coque MC.

J Chromatogr A. 2007 Sep 7;1163(1-2):119-27. Epub 2007 Jun 16.

PMID:
17612547
[PubMed - indexed for MEDLINE]
4.

Prediction of retention in reversed-phase liquid chromatography by means of the polarity parameter model.

Lázaro E, Izquierdo P, Ràfols C, Rosés M, Bosch E.

J Chromatogr A. 2009 Jul 3;1216(27):5214-27. doi: 10.1016/j.chroma.2009.05.006. Epub 2009 May 13.

PMID:
19493533
[PubMed - indexed for MEDLINE]
5.

Evaluation of chromatographic descriptors for the prediction of gastro-intestinal absorption of drugs.

Deconinck E, Ates H, Callebaut N, Van Gyseghem E, Vander Heyden Y.

J Chromatogr A. 2007 Jan 5;1138(1-2):190-202. Epub 2006 Nov 9.

PMID:
17097093
[PubMed - indexed for MEDLINE]
6.

Alignment-free classification of G-protein-coupled receptors using self-organizing maps.

Otaki JM, Mori A, Itoh Y, Nakayama T, Yamamoto H.

J Chem Inf Model. 2006 May-Jun;46(3):1479-90.

PMID:
16711767
[PubMed - indexed for MEDLINE]
7.

The comparison of two column classification systems during the chromatographic analysis of steroids.

Plenis A, Balakowska E, Bączek T.

J Sep Sci. 2011 Dec;34(23):3310-21. doi: 10.1002/jssc.201100631. Epub 2011 Oct 31.

PMID:
22038836
[PubMed - indexed for MEDLINE]
8.

Description and comparison of chromatographic tests and chemometric methods for packed column classification.

Lesellier E, West C.

J Chromatogr A. 2007 Jul 27;1158(1-2):329-60. Epub 2007 Apr 5. Review. Erratum in: J Chromatogr A. 2008 Feb 12;1181(1-2):166.

PMID:
17467721
[PubMed - indexed for MEDLINE]
9.

Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets.

Astel A, Tsakovski S, Barbieri P, Simeonov V.

Water Res. 2007 Nov;41(19):4566-78. Epub 2007 Jun 16.

PMID:
17632213
[PubMed - indexed for MEDLINE]
10.

Neural networks in high-performance liquid chromatography optimization: response surface modeling.

Metting HJ, Coenegracht PM.

J Chromatogr A. 1996 Mar 29;728(1-2):47-53.

PMID:
8673238
[PubMed - indexed for MEDLINE]
11.

Minimal number of chromatographic test parameters for the characterisation of reversed-phase liquid chromatographic stationary phases.

Iványi T, Vander Heyden Y, Visky D, Baten P, De Beer J, Lázár I, Massart DL, Roets E, Hoogmartens J.

J Chromatogr A. 2002 Apr 19;954(1-2):99-114.

PMID:
12058922
[PubMed - indexed for MEDLINE]
12.

Reversed-phase liquid chromatographic method for the determination of selected room-temperature ionic liquid cations.

Stepnowski P, Müller A, Behrend P, Ranke J, Hoffmann J, Jastorff B.

J Chromatogr A. 2003 Apr 18;993(1-2):173-8.

PMID:
12735450
[PubMed - indexed for MEDLINE]
13.

Generalizing self-organizing map for categorical data.

Hsu CC.

IEEE Trans Neural Netw. 2006 Mar;17(2):294-304.

PMID:
16566459
[PubMed - indexed for MEDLINE]
14.

Ionic liquids as mobile phase additives in high-performance liquid chromatography with electrochemical detection: application to the determination of heterocyclic aromatic amines in meat-based infant foods.

Martín-Calero A, Pino V, Ayala JH, González V, Afonso AM.

Talanta. 2009 Aug 15;79(3):590-7. doi: 10.1016/j.talanta.2009.04.032. Epub 2009 May 3.

PMID:
19576417
[PubMed - indexed for MEDLINE]
15.

Prediction of liquid chromatographic retention behavior based on quantum chemical parameters using supervised self organizing maps.

Kittiwachana S, Wangkarn S, Grudpan K, Brereton RG.

Talanta. 2013 Mar 15;106:229-36. doi: 10.1016/j.talanta.2012.12.005. Epub 2012 Dec 23.

PMID:
23598121
[PubMed - indexed for MEDLINE]
16.

QSRR prediction of the chromatographic retention behavior of painkiller drugs.

Ghasemi J, Saaidpour S.

J Chromatogr Sci. 2009 Feb;47(2):156-63.

PMID:
19222924
[PubMed - indexed for MEDLINE]
Free Article
17.

Rapid high performance liquid chromatography method development with high prediction accuracy, using 5cm long narrow bore columns packed with sub-2microm particles and Design Space computer modeling.

Fekete S, Fekete J, Molnár I, Ganzler K.

J Chromatogr A. 2009 Nov 6;1216(45):7816-23. doi: 10.1016/j.chroma.2009.09.043. Epub 2009 Sep 24.

PMID:
19815221
[PubMed - indexed for MEDLINE]
18.

Evaluation of lipophilicity of N-arylhydroxamic acids by reversed phase-high performance liquid chromatographic method and self-organizing molecular field analysis.

Rajwade RP, Pande R.

Anal Chim Acta. 2008 Dec 23;630(2):205-10. doi: 10.1016/j.aca.2008.09.062. Epub 2008 Oct 14.

PMID:
19012833
[PubMed - indexed for MEDLINE]
19.

[Fast optimization of stepwise gradient conditions for ternary mobile phase in reversed-phase high performance liquid chromatography].

Shan YC, Zhang YK, Zhao RH.

Se Pu. 2002 Jul;20(4):289-94. Chinese.

PMID:
12541907
[PubMed - indexed for MEDLINE]
20.

Statistical external validation and consensus modeling: a QSPR case study for Koc prediction.

Gramatica P, Giani E, Papa E.

J Mol Graph Model. 2007 Mar;25(6):755-66. Epub 2006 Aug 4.

PMID:
16890002
[PubMed - indexed for MEDLINE]

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