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Volumn 644, Issue 1-2, 2009, Pages 10-16
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Predicting liquid chromatographic retention times of peptides from the Drosophila melanogaster proteome by machine learning approaches
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Author keywords
Gaussian process; Least squares support vector machine; Liquid chromatography; Peptide; Quantitative structure retention relationship; Random forest
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Indexed keywords
CHROMATOGRAPHIC RETENTIONS;
CROSS VALIDATIONS;
DESCRIPTORS;
DROSOPHILA MELANOGASTER;
GAUSSIAN PROCESS;
LEAST-SQUARES SUPPORT VECTOR MACHINE;
LINEAR METHODS;
MACHINE LEARNING ALGORITHMS;
MACHINE-LEARNING;
MODEL DEVELOPMENT;
MONTE CARLO;
NON-LINEAR APPROACHES;
PARAMETERIZED;
PARTIAL LEAST-SQUARES REGRESSIONS;
PHYSICO-CHEMICAL PROPERTIES;
PLS MODELS;
PREDICTIVE POWER;
PROTEOME;
QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP;
RANDOM FOREST;
REGRESSION MODELS;
REPRODUCIBILITY;
RETENTION BEHAVIORS;
RETENTION TIME;
REVERSE-PHASE LIQUID CHROMATOGRAPHIES;
STRUCTURAL INFORMATIONS;
TEST SETS;
TRAINING SETS;
AMINES;
CHROMATOGRAPHIC ANALYSIS;
COMPUTATIONAL FLUID DYNAMICS;
GAUSSIAN DISTRIBUTION;
GAUSSIAN NOISE (ELECTRONIC);
IMAGE RETRIEVAL;
LEARNING ALGORITHMS;
LIQUIDS;
MOSFET DEVICES;
PEPTIDES;
REGRESSION ANALYSIS;
ROBOT LEARNING;
SULFUR COMPOUNDS;
SUPPORT VECTOR MACHINES;
LIQUID CHROMATOGRAPHY;
PEPTIDE;
PROTEOME;
ARTICLE;
DROSOPHILA MELANOGASTER;
GAUSSIAN PROCESS;
GEOMETRY;
LEARNING ALGORITHM;
MACHINE LEARNING;
MONTE CARLO METHOD;
NONHUMAN;
PARTIAL LEAST SQUARES REGRESSION;
PHYSICAL CHEMISTRY;
PREDICTION;
PRIORITY JOURNAL;
QUANTITATIVE ANALYSIS;
RANDOM FOREST;
REPRODUCIBILITY;
REVERSED PHASE LIQUID CHROMATOGRAPHY;
STATISTICS;
SUPPORT VECTOR MACHINE;
VALIDATION PROCESS;
AMINO ACID SEQUENCE;
ANIMALS;
ARTIFICIAL INTELLIGENCE;
CHROMATOGRAPHY, LIQUID;
DROSOPHILA MELANOGASTER;
DROSOPHILA PROTEINS;
LEAST-SQUARES ANALYSIS;
MONTE CARLO METHOD;
PEPTIDES;
PREDICTIVE VALUE OF TESTS;
PROTEOME;
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;
TIME FACTORS;
DROSOPHILA MELANOGASTER;
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EID: 65549154236
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2009.04.010 Document Type: Article |
Times cited : (37)
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References (34)
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