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J-GLOBAL ID：201902208278405434   Reference number：19S1235055

Bioinformatic studies to predict microRNAs with the potential of uncoupling RECK expression from epithelial-mesenchymal transition in cancer cells

Author (6)： Wang, Zhipeng (Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University) ,  Yuki, Kanako (Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University) ,  Yoshida, Yoko (Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University) ,  Noda, Makoto (Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University) ,  Noda, Makoto (Department of Molecular Oncology, Graduate School of Medicine, Kyoto University) ,  Murakami, Ryusuke (Department of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University)
Material： Cancer Informatics
Volume： 15  Page： 91-102  Publication year： 2016 
JST Material Number： SCOPUS  ISSN： 1176-9351 
Country of issue： New Zealand (NZL)  Language： English (EN)

Terms in the title (2)： RECK ,  Cancer