2022
DOI: 10.1002/fsn3.3018
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Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 7 publications
(3 citation statements)
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“…Zhang et al . utilized heatmap visualization and an unsupervised K-means clustering algorithm to categorize 40 Lactobacillus strains based on their probiotic attributes [ 20 ]. Ghosh et al .…”
Section: Discussionmentioning
confidence: 99%
“…Zhang et al . utilized heatmap visualization and an unsupervised K-means clustering algorithm to categorize 40 Lactobacillus strains based on their probiotic attributes [ 20 ]. Ghosh et al .…”
Section: Discussionmentioning
confidence: 99%
“…The eigenvalues associated with the first three principal components ranged from 1.20 to 3.03, with the third principal component axis contributing significantly by explaining 87.30% of the overall variation. The application of principal component analysis (PCA) allows for the characterization of variations observed among experimental materials, thereby aiding in the identification of noteworthy plant traits [49,50]. In the biplot diagram, genotypes are deemed to have substantial contribution coefficients when their F values surpass 0.…”
Section: Discussionmentioning
confidence: 99%
“…Human-derived probiotics have more advantages than of non-human-derived probiotics [16]. It is safer and more effective to use human-derived probiotics for alleviating alcoholic liver injury.…”
Section: Introductionmentioning
confidence: 99%