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

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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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  Data: Machine learning techniques on homological persistence features for prostate cancer diagnosis.
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  Data: <searchLink fieldCode="AR" term="%22Rammal%2C+Abbas%22">Rammal, Abbas</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> abbas.rammal@emse.fr</i><br /><searchLink fieldCode="AR" term="%22Assaf%2C+Rabih%22">Assaf, Rabih</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Goupil%2C+Alban%22">Goupil, Alban</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kacim%2C+Mohammad%22">Kacim, Mohammad</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vrabie%2C+Valeriu%22">Vrabie, Valeriu</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22BMC+Bioinformatics%22">BMC Bioinformatics</searchLink>. 11/12/2022, Vol. 23 Issue 1, p1-22. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=160176241
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        Value: 10.1186/s12859-022-04992-5
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        Text: English
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              Text: 11/12/2022
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