Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvi...
Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Emerging evidence suggests that host-microbe interaction in the cervicovaginal microenvironment contributes to cervical carcinogenesis, yet dissecting these complex interactions is challenging. Herein, we performed an integrated analysis of multiple “omics” datasets to develop predictive models of the cervicovaginal microenvironment and identify ch...
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Full title
Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment
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TN_cdi_plos_journals_2640120480
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2640120480
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1009876
