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支持向量分类算法用于1-(1H-1,2,4-三唑-1-基)-2-(2,4-二氟苯基)-3-取代-2-丙醇化合物的构效关系研究
引用本文:纪晓波,陆文聪,蔡煜东,陈念贻.支持向量分类算法用于1-(1H-1,2,4-三唑-1-基)-2-(2,4-二氟苯基)-3-取代-2-丙醇化合物的构效关系研究[J].上海大学学报(英文版),2007,11(5):521-526.
作者姓名:纪晓波  陆文聪  蔡煜东  陈念贻
作者单位:School of Materials Science and Engineering Shanghai University,Department of Chemistry,College of Sciences,Shanghai University,Department of Chemistry,College of Sciences,Shanghai University,Department of Chemistry,College of Sciences,Shanghai University,Shanghai 200072,P.R.China,Shanghai 200444,P.R.China,Shanghai 200444,P.R.China,Shanghai 200444,P.R.China
摘    要:

关 键 词:支持向量分类算法  1-(1H-1  2  4-三唑-1-基)-2-(2  4-二氟苯基)-3-取代-2-丙醇化合物  构效关系  化学
收稿时间:2005-12-30
修稿时间:2005-12-30

Support vector classification for structure-activity-relationship of 1-(1H-1,2,4-triazole-1-yl)-2-(2,4-difluorophenyl)-3-substituted-2-propanols
JI Xiao-bo,LU Wen-cong,CAI Yu-dong,CHEN Nian-yi.Support vector classification for structure-activity-relationship of 1-(1H-1,2,4-triazole-1-yl)-2-(2,4-difluorophenyl)-3-substituted-2-propanols[J].Journal of Shanghai University(English Edition),2007,11(5):521-526.
Authors:JI Xiao-bo  LU Wen-cong  CAI Yu-dong  CHEN Nian-yi
Institution:1. School of Materials Science and Engineering, Shanghai University, Shanghai 200072, P. R. China
2. Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, P. R. China
Abstract:
Keywords:triazole derivatives  antifungal activity  structure-activity relationship (SAR)  support vector machine  leave-one-out cross-validation (LOOCV)  
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