Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions.

<p>(A) The panel shows the ability of the Metropolis algorithm to recover the true functional groups within a linear degradation chain with <i>N</i> = 4 metabolites. The recovery quality of a group is defined as the Jaccard Similarity between the true functional group and its close...

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Bibliographic Details
Main Author:	Yuanchen Zhao (12905580) (author)
Other Authors:	Otto X. Cordero (7308872) (author), Mikhail Tikhonov (3259908) (author)
Published:	2024
Subjects:	Evolutionary Biology Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified two proposed previously resource competition framework ensemble quotient optimization detailed microscopic descriptions de novo </ identify useful groupings modeling community function div >< p compare three regression coarse representations predictive use synthetic data group methods offer predictive coarsening coarser representations several approaches recent work prohibitively complex multiple groups microbial ecology manifestly nonlinear key goal groupings even former could empirical success driven way based methods based algorithms approach ).
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Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions.

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