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364篇 您的检索式:作者名="Leva"
    题名 作者 年代 出处 被引量
1miRNA profiling of cancer显示文摘Gianpiero Di Leva Carlo M Croce 2013Current Opinion in Genetics & Development2013,,1:2
2MicroRNAs in Cancer显示文摘Gianpiero Di Leva Michela Garofalo Carlo M. Croce 2014Annual Review of Pathology: Mechanisms of Disease2014,,:2
3Risk prediction models for biochemical recurrence after radical prostatectomy using prostate-specific antigen and Gleason score显示文摘为预言前列腺癌症的风险的许多计算机模型被开发了为生物化学的复发(BCR ) 的预言包括。然而,在一个 BCR 免费时期是稀罕的以后,在单个时间点为单个 BCR 免费概率当模特儿。从经历了 laparoscopic 激进分子前列腺切除术( LRP )的 1656 个病人的后续数据被用来模型使用开发一个人工的神经网络( ANN )预言 BCR 并且把它与逻辑回归( LR )作比较临床、病理学的参数,前列腺特定的抗原( PSA ),边缘地位( R0/1 ),病理学的阶段(磅),和格利森分数( GS )。为在在操作,另外的 ANN,和 LR 以后的任何给定的时间的单个 BCR 预言,模型每 6 个月被计算多达 7.5 年后续。在为 ANN (0.754 ) 和 LR 的操作特征(巨鸟) 曲线(AUC ) 建模的接收装置(0.755 ) 下面的区域计算了立即后面的 LRP,为 GS 比那大(AUC:0.715;P = 0.0015 和 0.001 ) ,磅或 PSA (AUC:0.619;P 总是 < 0.0001 ) 独自一个。GS 比 PSA 更好预言了 BCR (P = 0.0001 ) ,但是 ANN 和 LR 模型之间没有差别(P = 0.39 ) 。我们的 ANN 和 LR 模型从激进的前列腺切除术预言了单个 BCR 风险多达 10 年手术后。ANN 和 LR 模型同等地并且显著地独自与 PSA 和 GS 相比改进了 BCR 的预言。当 GS 和 ANN 产量价值被联合时,更精确的 BCR 预言是可能的,特别在有 GS ≥ 的高风险的病人; 7。Xin-Hai Hu Henning Cammann Hellmuth-A Meyer Klaus Jung Hong-Biao Lu Natalia Levas Ahmed Magheli Carsten Stephan Jonas Busch 2014Asian Journal of Andrology2014,16,6:2
4Analytical methodologies for determining the occurrence of endocrine disrupting chemicals in sewage treatment plants and natural waters显示文摘Lagana A Bacaloni A De Leva I 2004Anal Chim Acta2004,501,1:1
5MicroRNA signatures of TRAIL resistance in human nonsmall cell lung cancer 显示文摘Garofalo M Quintavalle C Di Leva G 2008Oncogene2008,27,27:1
6Oncosuppressive role of p53-induced miR-205 in triple negative breast cancer显示文摘Piovan C Palmieri D Di Leva G 2012Mole Oncol2012,6,4:1
7Performance Analysis of a Single-Axis Tracking PV System显示文摘Dolara A Grimaccia F Leva S 2012Photovoltaics IEEE Journal of2012,2,4:1
8A ground-based parasitic SAR experiment显示文摘Lisa Cazzani Carlo Colesanti Davide Leva Giuseppe Nesti Claudio Prati Fabio Rocca Dario Tarchi 2000IEEE Transactions on Geoscience and Remote Sensing2000,38,5:1
9MicroRNA cluster 221-222 and estrogen receptor alpha interactions in breast canc-er显示文摘Di Leva G Gasparini P Piovan Cy 2010J Natl Cancer Inst2010,102,10:1
10Binding mechanism of the farnesoid X receptor marine antagonist suvanine reveals a strategy to forestall drug modulation on nuclear receptors, design, synthe- sis, and biological evaluation of novel ligands 显示文摘Di Leva FS Festa C D'Amore C 2013J Med Chem2013,6,11:1
11Combined treatment with vitamin E and colchicine in the early stages of Peyronie's disease显示文摘Prieto CR Leva VM Regueiro LJ 2003BJU Int2003,91,6:1
12MicroRNAs in Can- cer显示文摘DI LEVA G GAROFALO M CROCE CM 2014Annu Rev Pathol2014,9,1:1
13miR-221&222 regulate TRAIL resistance and enhance tumorigenicity through PTEN and TIMP3 downregulation显示文摘GAROFALO M DI LEVA G ROMANO G 2009Cancer Cell2009,16,6:1
14Disperse-strengthening by nano-particles advanced tribological coatings and electrode materials for their deposition显示文摘Leva shov E A Vakaev P V Zamulaeva E I 2007Surface and Coating Technology2007,201,13:1
15MicroRNA Signatures in Hu-man Ovarian Cancer显示文摘Iorio MV Visone R Di Leva G 2007Cancer Res2007,67,18:1
16MicroRNA signatures of TRAIL resistance in human non - small celll ung cancer 显示文摘Garofalo M Quintavalle C Di Leva G 2008Oncogene2008,27,:1
17MicroRNAs in Cancer显示文摘Gianpiero Di Leva Michela Garofalo Carlo M. Croce 2014Annual Review of Pathology: Mechanisms of Disease2014,,:1
18Energy comparison of MPPT techniques for PV systems显示文摘Faranda R Leva S 2008WSEAS Transactions on Power Systems2008,3,6:1
19Tissue Doppler imaging in coronary artery diseases and heart failure 显示文摘Correale M Totaro A leva R 2012Curr Cardiel Rev2012,8,1:1
20MicroRNAs in cancer 显示文摘Di Leva G Garofalo M Croce C M 2014Annu Rev Pathol2014,9,:1
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