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Volumn 13, Issue 8, 2017, Pages 1584-1596

An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features

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[No Author keywords available]

Indexed keywords


EID: 85026307146     PISSN: 1742206X     EISSN: 17422051     Source Type: Journal    
DOI: 10.1039/c7mb00234c     Document Type: Article
Times cited : (34)

References (77)
  • 57
    • 0025318864 scopus 로고
    • F. Wright Gene 1990 87 23 29
    • (1990) Gene , vol.87 , pp. 23-29
    • Wright, F.1
  • 62
    • 85026329867 scopus 로고    scopus 로고
    • Gene Expression Database (GenExpDB)
    • E. coli Gene Expression Database (GenExpDB), https://genexpdb.ou.edu/
    • E. Coli


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.