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Mining High-Throughput Screening Data of Combinatorial Libraries: Development of a Filter to Distinguish Hits from Nonhits
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Calculation of Structure Descriptors
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Calculation of Structure Descriptors
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Mining High‐Throughput Screening Data of Combinatorial Libraries: Development of a Filter to Distinguish Hits from Nonhits.
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Predicting Compound Selectivity by Self‐Organizing Maps: Cross‐Activities of Metabotropic Glutamate Receptor Antagonists
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Current Status of Virtual Combinatorial Library Design
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In Silico Screening
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Prediction of biological activity of Aurora-A kinase inhibitors by multilinear regression analysis and support vector machine
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Fast similarity searching and screening hit analysis
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Classification of Aurora kinase inhibitors by self-organizing map (SOM) and support vector machine (SVM)
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Identification of Metabotropic Glutamate Receptor Subtype 5 Potentiators Using Virtual High-Throughput Screening
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