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Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix Factorization.

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Title: Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix Factorization.
Authors: Thelagathoti, Rama Krishna1 (AUTHOR), Jiang, Chao1 (AUTHOR), Chandel, Dinesh S.1 (AUTHOR), Tom, Wesley A.1 (AUTHOR), Sarmiento, Cleo1 (AUTHOR), Olou, Appolinaire1 (AUTHOR), Krzyzanowski, Gary1 (AUTHOR), Fernando, M. Rohan1 (AUTHOR) m.rohan.fernando@boystown.org
Source: Bioengineering (Basel). Jun2026, Vol. 13 Issue 6, p597. 17p.
Database: Academic Search Ultimate
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  Data: Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix Factorization.
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. Jun2026, Vol. 13 Issue 6, p597. 17p.
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              Text: Jun2026
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