Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
Posters | 2020 | Agilent TechnologiesInstrumentation
GC/MSD, LC/MS
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Key wordsboth, learning, machine, pesticides, descriptor, amenable, classification, atoms, pesticide, tech, ensemble, execution, methyl, list, qspr, refractivity, petitjean, polarizabilities, xlogp, aldicarb, fenamiphos, caret, topological, methiocarb, methods, polarizability, number, implicit, sulfone, sulfoxide, hydrogens, descriptors, sum, endosulfan, between, accuracy, eurl, method, molecular, model, multiresidue, parathion, prediction, alpna, amenabilities, benuralin, clortoluron, dichloruanid, dropouts, piridafenthion
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