Literature DB >> 8487267

Statistics using neural networks: chance effects.

D J Livingstone1, D T Manallack.   

Abstract

Mesh：

Year:  1993        PMID： 8487267     DOI： 10.1021/jm00061a023

Source DB:  PubMed          Journal:  J Med Chem        ISSN： 0022-2623            Impact factor:   7.446


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  8 in total

1.  Prediction of solubility of aliphatic alcohols using the restricted components of autocorrelation method (RCAM).

Authors:  Mohamed Nohair; Driss Zakarya
Journal:  J Mol Model       Date:  2003-08-23       Impact factor: 1.810

2.  Data modelling with neural networks: advantages and limitations.

Authors:  D J Livingstone; D T Manallack; I V Tetko
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

3.  QSAR analysis on tacrine-related acetylcholinesterase inhibitors.

Authors:  Kai Y Wong; Andrew G Mercader; Laura M Saavedra; Bahareh Honarparvar; Gustavo P Romanelli; Pablo R Duchowicz
Journal:  J Biomed Sci       Date:  2014-09-20       Impact factor: 8.410

4.  Quantitative structure-diastereoselectivity relationships for arylsulfoxide derivatives in radical chemistry.

Authors:  Mohamed Zahouily; Ahmed Rayadh; Mina Aadil; Driss Zakarya
Journal:  J Mol Model       Date:  2003-05-24       Impact factor: 1.810

5.  Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.

Authors:  J D Hirst; R D King; M J Sternberg
Journal:  J Comput Aided Mol Des       Date:  1994-08       Impact factor: 3.686

6.  Artificial neural networks for diagnosis and survival prediction in colon cancer.

Authors:  Farid E Ahmed
Journal:  Mol Cancer       Date:  2005-08-06       Impact factor: 27.401

Review 7.  QSPR studies on aqueous solubilities of drug-like compounds.

Authors:  Pablo R Duchowicz; Eduardo A Castro
Journal:  Int J Mol Sci       Date:  2009-06-03       Impact factor: 6.208

8.  Prediction of p38 map kinase inhibitory activity of 3, 4-dihydropyrido [3, 2-d] pyrimidone derivatives using an expert system based on principal component analysis and least square support vector machine.

Authors:  M Shahlaei; L Saghaie
Journal:  Res Pharm Sci       Date:  2014 Nov-Dec
  8 in total

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