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10.1016/j.str.2012.01.021

Firstly, the manuscript lists AI algorithms (such as machine learning and deep learning), but does not delve deeply into which algorithm is most suitable for solving the specific problem of "identifying key driver targets from a large amount of omics data"

Heat-treated (tyndallized) biomass and the supernatant (postbiotics) were used for the in vitro and in vivo tests, and FMC was used as a reference inhibitor ( in vitro test was performed on a fecal slurry sample, monitoring the formation of TMA for 1, 3, and 12 h, and choline (50 M) was used as a substrate

showed that ACMSD limits the formation of NAD + via ACMS conversion [37]