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Multi‐omic data integration and exploiting metabolic models using systems biology approach increase precision in subtyping and early diagnosis of cancer.

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Title: Multi‐omic data integration and exploiting metabolic models using systems biology approach increase precision in subtyping and early diagnosis of cancer.
Authors: Tanıl, Ezgi1 (AUTHOR), Nikerel, Emrah1 (AUTHOR) emrah.nikerel@yeditepe.edu.tr
Source: Quantitative Biology. Dec2025, Vol. 13 Issue 4, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: Multi‐omic data integration and exploiting metabolic models using systems biology approach increase precision in subtyping and early diagnosis of cancer.
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  Data: <searchLink fieldCode="AR" term="%22Tanıl%2C+Ezgi%22">Tanıl, Ezgi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nikerel%2C+Emrah%22">Nikerel, Emrah</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> emrah.nikerel@yeditepe.edu.tr</i>
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  Data: <searchLink fieldCode="JN" term="%22Quantitative+Biology%22">Quantitative Biology</searchLink>. Dec2025, Vol. 13 Issue 4, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188098286
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        Value: 10.1002/qub2.70012
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1
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      – TitleFull: Multi‐omic data integration and exploiting metabolic models using systems biology approach increase precision in subtyping and early diagnosis of cancer.
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            NameFull: Tanıl, Ezgi
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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