Improving flux predictions by integrating data from multiple strains
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DOI: 10.1093/bioinformatics/btw706
Abstract: Motivation: Incorporating experimental data into constraint‐based models can improve the quality and accuracy of their metabolic flux predictions. Unfortunately, routinely and easily measured experimental data such as growth rates, extracellular fluxes, transcriptomics and even proteomics… read more here.
Keywords: improving flux; predictions integrating; flux predictions; multiple strains ... See more keywords