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SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data.

, , , , , , , and . BMC Bioinform., 20 (1): 501:1-501:10 (2019)

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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)SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data., , , , , , , and . BMC Bioinform., 20 (1): 501:1-501:10 (2019)Bayesian kinetic modeling for tracer-based metabolomic data., , , , , and . BMC Bioinform., 24 (1): 108 (December 2023)Development of large-scale metabolite identification methods for metabolomics., , , and . BMC Bioinform., 15 (S-10): P36 (2014)The orientation and dynamics of the C2'-OH and hydration of RNA and DNA.RNA hybrids., , , and . Nucleic Acids Res., 26 (13): 3104-3110 (1998)Conformational properties and thermodynamics of the RNA duplex r(CGCAAAUUUGCG)2: comparison with the DNA analogue d(CGCAAATTTGCG)2., , , and . Nucleic Acids Res., 25 (13): 2627-2634 (1997)Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees., , , , and . IEEE J. Biomed. Health Informatics, 24 (5): 1528-1536 (2020)TFmeta: A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming., , , , and . BCB, page 351-359. ACM, (2018)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)