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GA Strategy for Variable Selection in QSAR Studies: Application of GA-Based Region Selection to a 3D-QSAR Study of Acetylcholinesterase Inhibitors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Genetic algorithms as a strategy for feature selection
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Application of a genetic algorithm to feature selection under full validation conditions and to outlier detection
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The Probability of Chance Correlation Using Partial Least Squares (PLS)
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Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution
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Molecular Similarity in Drug Design
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3D-QSAR: a current perspective
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GA strategy for variable selection in QSAR studies: GAPLS and D-optimal designs for predictive QSAR model
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Structure-based drug design: progress, results and challenges
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GA Strategy for Variable Selection in QSAR Studies: GA-Based PLS Analysis of Calcium Channel Antagonists
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GA Strategy for Variable Selection in QSAR Studies: GA-Based Region Selection for CoMFA Modeling
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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
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Comparative computer graphics and solution studies of the DNA interaction of substituted anthraquinones based on doxorubicin and mitoxantrone
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ChemInform Abstract: GA Strategy for Variable Selection in QSAR Studies: Application of GA‐Based Region Selection to a 3D‐QSAR Study of Acetylcholinesterase Inhibitors.
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