Multivariate data analysis using D-optimal designs, partial least squares, and response surface modeling: A directional approach for the analysis of farnesyltransferase inhibitors.
about
Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARsRemodelling of the natural product fumagillol employing a reaction discovery approachMultivariate strategy for the sample selection and integration of multi-batch data in metabolomics.RPR-115135, a farnesyltransferase inhibitor, increases 5-FU- cytotoxicity in ten human colon cancer cell lines: role of p53.Simultaneous Spectrophotometric Determination of Imipramine Hydrochloride with Chlordiazepoxide and Nortriptyline Hydrochloride with Fluphenazine Hydrochloride
P2860
Multivariate data analysis using D-optimal designs, partial least squares, and response surface modeling: A directional approach for the analysis of farnesyltransferase inhibitors.
description
2000 nî lūn-bûn
@nan
2000 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@ast
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@en
type
label
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@ast
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@en
prefLabel
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@ast
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@en
P2093
P356
P1476
Multivariate data analysis usi ...... arnesyltransferase inhibitors.
@en
P2093
P304
P356
10.1021/JM991166H
P407
P577
2000-05-01T00:00:00Z