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Central metabolic responses to the overproduction of fatty acids in Escherichia coli based on 13C-metabolic flux analysis

, , , , , , and . Biotechnol. Bioeng., (2014)

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Genetic Programming for Biomarker Detection in Mass Spectrometry Data., , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 266-278. Springer, (2012)A new GP-based wrapper feature construction approach to classification and biomarker identification., , and . IEEE Congress on Evolutionary Computation, page 2756-2763. IEEE, (2014)Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches., , , and . PRICAI (3), volume 11672 of Lecture Notes in Computer Science, page 474-487. Springer, (2019)GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm., , , and . EvoApplications, volume 11454 of Lecture Notes in Computer Science, page 72-89. Springer, (2019)Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach., , and . EvoBIO, volume 7833 of Lecture Notes in Computer Science, page 43-55. Springer, (2013)Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification., , , and . CEC, page 1-8. IEEE, (2018)Prediction of detectable peptides in MS data using genetic programming., , and . GECCO (Companion), page 37-38. ACM, (2014)A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data., , , and . EvoApplications (1), volume 9597 of Lecture Notes in Computer Science, page 106-122. Springer, (2016)Learning to Rank Peptide-Spectrum Matches Using Genetic Programming., , , and . CEC, page 3244-3251. IEEE, (2019)Central metabolic responses to the overproduction of fatty acids in Escherichia coli based on 13C-metabolic flux analysis, , , , , , and . Biotechnol. Bioeng., (2014)