Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer

scientific article published on 28 December 2017

Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/LiuHLXLKWL17
P6179Dimensions Publication ID1100103607
P356DOI10.1186/S12859-017-1891-6
P932PMC publication ID5751793
P698PubMed publication ID29297280

P2093author name stringLi He
Zhichao Liu
Yuan Liu
Menglong Li
Zhining Wen
Keqin Liu
Qifan Kuang
Junmei Xu
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P433issueSuppl 14
P921main subjectbiomarkerQ864574
P304page(s)472
P577publication date2017-12-28
P1433published inBMC BioinformaticsQ4835939
P1476titleMutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer
P478volume18

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Q47107648Proceedings of the 2017 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conferencecites workP2860

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