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Volumn 39, Issue 1, 1999, Pages 121-132

Multivariate regression outperforms several robust architectures of neural networks in QSAR modeling

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EID: 0002483594     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci980090f     Document Type: Article
Times cited : (162)

References (15)
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    • Randić, M. Molecular Profiles. Novel Geometry-Dependent Molecular Descriptors. New J. Chem. 1995, 19, 781-791.
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    • Randić, M.1
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    • Quantum-chemical descriptors in QSAR/QSPR studies
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    • (1996) Chem. Rev. , vol.96 , pp. 1027-1043
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    • Prediction of gas chromatographic retention times and response factors using a general quantitative structure-property relationship treatment
    • Katritzky, A. R.; Ignatchenko, E. S.; Barcock, R. A.; Lobanov, V. S.; Karelson, M. Prediction of Gas Chromatographic Retention Times and Response Factors Using a General Quantitative Structure-Property Relationship Treatment. Anal. Chem. 1994, 66, 1799-1807.
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    • Katritzky, A.R.1    Ignatchenko, E.S.2    Barcock, R.A.3    Lobanov, V.S.4    Karelson, M.5
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    • p-σ-π analysis. A method for the correlation of biological activity and chemical structure
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    • Hansch, C.1    Fujita, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.