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Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees.

, , , , and . IEEE J. Biomed. Health Informatics, 24 (5): 1528-1536 (2020)

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Metabolic Modeling of Converging Metabolic Pathways - Analysis of Non-steady State Stable Isotope-resolve Metabolism of UDP-GlcNAc and UDP-GalNAc., , , and . BIOINFORMATICS, page 108-115. SciTePress, (2011)Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017., , , , , , , , , and 33 other author(s). BMC Bioinform., (September 2017)Correction: Bayesian kinetic modeling for tracer-based metabolomic data., , , , , and . BMC Bioinform., 25 (1): 14 (December 2024)Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees., , , , and . IEEE J. Biomed. Health Informatics, 24 (5): 1528-1536 (2020)Development of large-scale metabolite identification methods for metabolomics., , , and . BMC Bioinform., 15 (S-10): P36 (2014)Edelfosine-induced metabolic changes in cancer cells that precede the overproduction of reactive oxygen species and apoptosis., , , , , and . BMC Syst. Biol., (2010)TFmeta: A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming., , , , and . BCB, page 351-359. ACM, (2018)Bayesian kinetic modeling for tracer-based metabolomic data., , , , , and . BMC Bioinform., 24 (1): 108 (December 2023)SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data., , , , , , , and . BMC Bioinform., 20 (1): 501:1-501:10 (2019)