Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach
10.1038/s41598-017-08209-1
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sg-nus-scholar.10635-1739522023-09-21T08:22:09Z Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach Zarringhalam, K Tay, Y Kulkarni, P Bester, A.C Pandolfi, P.P Kulkarni, R.V DEPT OF BIOCHEMISTRY messenger RNA microRNA phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase 3' untranslated region gene expression regulation genetics human metabolism probability theoretical model tumor cell line 3' Untranslated Regions Cell Line, Tumor Gene Expression Regulation, Neoplastic Humans MicroRNAs Models, Theoretical Probability PTEN Phosphohydrolase RNA, Messenger 10.1038/s41598-017-08209-1 Scientific Reports 7 1 7755 2020-09-02T06:39:36Z 2020-09-02T06:39:36Z 2017 Article Zarringhalam, K, Tay, Y, Kulkarni, P, Bester, A.C, Pandolfi, P.P, Kulkarni, R.V (2017). Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach. Scientific Reports 7 (1) : 7755. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-017-08209-1 20452322 https://scholarbank.nus.edu.sg/handle/10635/173952 Unpaywall 20200831 |
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messenger RNA microRNA phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase 3' untranslated region gene expression regulation genetics human metabolism probability theoretical model tumor cell line 3' Untranslated Regions Cell Line, Tumor Gene Expression Regulation, Neoplastic Humans MicroRNAs Models, Theoretical Probability PTEN Phosphohydrolase RNA, Messenger |
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messenger RNA microRNA phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase 3' untranslated region gene expression regulation genetics human metabolism probability theoretical model tumor cell line 3' Untranslated Regions Cell Line, Tumor Gene Expression Regulation, Neoplastic Humans MicroRNAs Models, Theoretical Probability PTEN Phosphohydrolase RNA, Messenger Zarringhalam, K Tay, Y Kulkarni, P Bester, A.C Pandolfi, P.P Kulkarni, R.V Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach |
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10.1038/s41598-017-08209-1 |
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DEPT OF BIOCHEMISTRY |
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DEPT OF BIOCHEMISTRY Zarringhalam, K Tay, Y Kulkarni, P Bester, A.C Pandolfi, P.P Kulkarni, R.V |
format |
Article |
author |
Zarringhalam, K Tay, Y Kulkarni, P Bester, A.C Pandolfi, P.P Kulkarni, R.V |
author_sort |
Zarringhalam, K |
title |
Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach |
title_short |
Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach |
title_full |
Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach |
title_fullStr |
Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach |
title_full_unstemmed |
Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach |
title_sort |
identification of competing endogenous rnas of the tumor suppressor gene pten: a probabilistic approach |
publishDate |
2020 |
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https://scholarbank.nus.edu.sg/handle/10635/173952 |
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1778169663384977408 |