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5 ta ish

Ish: On Some Aspects of Variable Selection for Partial Least Squares Regression Models

  1. SMILES‐based optimal descriptors: QSAR analysis of fullerene‐based HIV‐1 PR inhibitors by means of balance of correlations

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +2

    MaqolaComputational Drug Discovery MethodsJournal of Computational Chemistry20091 iqtibos
    ABI

  2. QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +1

    MaqolaComputational Drug Discovery MethodsMolecular Diversity20090 iqtibos
    ABI

  3. QSPR modeling of enthalpies of formation for organometallic compounds by SMART‐based optimal descriptors

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +1

    MaqolaComputational Drug Discovery MethodsJournal of Computational Chemistry20090 iqtibos
    ABI

  4. InChI-based optimal descriptors: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors by correlation balance

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +2

    MaqolaComputational Drug Discovery MethodsEuropean Journal of Medicinal Chemistry20100 iqtibos
    ABI

  5. Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models

    Asad Ullah Khan, Raheel Asghar, Najmul Hassan +4

    MaqolaInnovative concrete reinforcement materialsMultiscale and Multidisciplinary Modeling Experiments and Design20240 iqtibos
    ABI