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For: Wang Z, Murakami R, Yuki K, Yoshida Y, Noda M. Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial-Mesenchymal Transition in Cancer Cells. Cancer Inform 2016;15:91-102. [PMID: 27226706 PMCID: PMC4874744 DOI: 10.4137/cin.s34141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 02/24/2016] [Accepted: 03/07/2016] [Indexed: 12/21/2022] Open

For:	Wang Z, Murakami R, Yuki K, Yoshida Y, Noda M. Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial-Mesenchymal Transition in Cancer Cells. Cancer Inform 2016;15:91-102. [PMID: 27226706 PMCID: PMC4874744 DOI: 10.4137/cin.s34141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 02/24/2016] [Accepted: 03/07/2016] [Indexed: 12/21/2022] Open

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(The first 100,000 artilces are displayed in RCA.)