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Machine learning techniques on homological persistence features for prostate cancer diagnosis.

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Bibliographic Details
Title: Machine learning techniques on homological persistence features for prostate cancer diagnosis.
Authors: Rammal, Abbas1,2,3 (AUTHOR) abbas.rammal@emse.fr, Assaf, Rabih3 (AUTHOR), Goupil, Alban4 (AUTHOR), Kacim, Mohammad3 (AUTHOR), Vrabie, Valeriu4 (AUTHOR)
Source: BMC Bioinformatics. 11/12/2022, Vol. 23 Issue 1, p1-22. 22p.
Database: Academic Search Ultimate
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Description
ISSN:14712105
DOI:10.1186/s12859-022-04992-5