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A Gene Regulatory Network Cooperatively Controlled by Pdx1 and Sox9 Governs Lineage Allocation of Foregut Progenitor Cells Journal article
Cell Reports, 2015,Volume: 13,Issue: 2,Page: 326-336
Authors:  Shih H.P.;  Seymour P.A.;  Patel N.A.;  Xie R.;  Wang A.;  Liu P.P.;  Yeo G.W.;  Magnuson M.A.;  Sander M.
Favorite  |  View/Download:3/0  |  Submit date:2019/01/16
Tracking mesenchymal stem cell tumor-homing using fluorescent silica nanoparticles Journal article
Journal of Materials Chemistry B, 2015,Volume: 3,Issue: 7,Page: 1245-1253
Authors:  Gao Y.;  Wang Y.;  Fu A.;  Shi W.;  Yeo D.;  Luo K.Q.;  Ow H.;  Xu C.
Favorite  |  View/Download:1/0  |  Submit date:2018/12/18
Prediction of outcome in cancer patients with febrile neutropenia: A prospective validation of the Multinational Association for Supportive Care in Cancer risk index in a Chinese population and comparison with the Talcott model and artificial neural network Journal article
Supportive Care in Cancer, 2011,Volume: 19,Issue: 10,Page: 1625-1635
Authors:  Hui E.P.;  Leung L.K.S.;  Poon T.C.W.;  Mo F.;  Chan V.T.C.;  Ma A.T.W.;  Poon A.;  Hui E.K.;  Mak S.-S.;  Lai M.;  Lei K.I.K.;  Ma B.B.Y.;  Mok T.S.K.;  Yeo W.;  Zee B.C.Y.;  Chan A.T.C.
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Artificial neural networks  Discriminatory accuracy  Febrile neutropenia  Receiver-operating characteristics curve  Risk prediction model  
Whole-genome cartography of estrogen receptor α binding sites Journal article
PLoS Genetics, 2007,Volume: 3,Issue: 6,Page: 0867-0885
Authors:  Lin C.-Y.;  Vega V.B.;  Thomsen J.S.;  Zhang T.;  Say L.K.;  Xie M.;  Kuo P.C.;  Lipovich L.;  Barnett D.H.;  Stossi F.;  Yeo A.;  George J.;  Kuznetsov V.A.;  Yew K.L.;  Tze H.C.;  Palanisamy N.;  Miller L.D.;  Cheung E.;  Katzenellenbogen B.S.;  Ruan Y.;  Bourque G.;  Wei C.-L.;  Liu E.T.
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