Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells

Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells

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Bibliographic Details
Main Authors: Zhipeng Wang, Ryusuke Murakami, Kanako Yuki, Yoko Yoshida, Makoto Noda
Format: Article
Language:English
Published: SAGE Publishing 2016-05-01
Series:Cancer Informatics
Online Access:http://www.la-press.com/bioinformatic-studies-to-predict-micrornas-with-the-potential-of-uncou-article-a5632
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spelling doaj-1ca081b795284c7e9bf377ab4d72bbbf2020-11-25T03:00:07ZengSAGE PublishingCancer Informatics1176-93512016-05-01201615911025632Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer CellsZhipeng WangRyusuke MurakamiKanako YukiYoko YoshidaMakoto Nodahttp://www.la-press.com/bioinformatic-studies-to-predict-micrornas-with-the-potential-of-uncou-article-a5632
collection DOAJ
language English
format Article
sources DOAJ
author Zhipeng Wang
Ryusuke Murakami
Kanako Yuki
Yoko Yoshida
Makoto Noda
spellingShingle Zhipeng Wang
Ryusuke Murakami
Kanako Yuki
Yoko Yoshida
Makoto Noda
Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells
Cancer Informatics
author_facet Zhipeng Wang
Ryusuke Murakami
Kanako Yuki
Yoko Yoshida
Makoto Noda
author_sort Zhipeng Wang
title Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells
title_short Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells
title_full Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells
title_fullStr Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells
title_full_unstemmed Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial–Mesenchymal Transition in Cancer Cells
title_sort bioinformatic studies to predict micrornas with the potential of uncoupling reck expression from epithelial–mesenchymal transition in cancer cells
publisher SAGE Publishing
series Cancer Informatics
issn 1176-9351
publishDate 2016-05-01
url http://www.la-press.com/bioinformatic-studies-to-predict-micrornas-with-the-potential-of-uncou-article-a5632
work_keys_str_mv AT zhipengwang bioinformaticstudiestopredictmicrornaswiththepotentialofuncouplingreckexpressionfromepithelialmesenchymaltransitionincancercells
AT ryusukemurakami bioinformaticstudiestopredictmicrornaswiththepotentialofuncouplingreckexpressionfromepithelialmesenchymaltransitionincancercells
AT kanakoyuki bioinformaticstudiestopredictmicrornaswiththepotentialofuncouplingreckexpressionfromepithelialmesenchymaltransitionincancercells
AT yokoyoshida bioinformaticstudiestopredictmicrornaswiththepotentialofuncouplingreckexpressionfromepithelialmesenchymaltransitionincancercells
AT makotonoda bioinformaticstudiestopredictmicrornaswiththepotentialofuncouplingreckexpressionfromepithelialmesenchymaltransitionincancercells
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