排序方式: 共有26条查询结果,搜索用时 15 毫秒
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跳跃点统计检测的小波方法及其在金融汇率中的应用1)黄香叶维彰(香港理工大学应用数学系,香港,九龙)栾贻会谢衷洁(北京大学数学学院概率统计系,北京,100871)关键词小波;跃点检测;汇率中图分类号O211;O2120引言近年来,小波分析已引入到统计领... 相似文献
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提出TCP/IP在过程控制中的应用. 评价TCP/IP控制系统性能,通过传统控制系统与TCP/IP控制系统的比较,指出采用TCP/IP 控制系统的优缺点. 说明过程控制技术中,采用TCP/IP是一种更好的选择. 相似文献
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Germline mutations in FH predispose to dominantly inherited uterine fibroids, skin leiomyomata and papillary renal cell cancer 总被引:26,自引:0,他引:26
Tomlinson IP Alam NA Rowan AJ Barclay E Jaeger EE Kelsell D Leigh I Gorman P Lamlum H Rahman S Roylance RR Olpin S Bevan S Barker K Hearle N Houlston RS Kiuru M Lehtonen R Karhu A Vilkki S Laiho P Eklund C Vierimaa O Aittomäki K Hietala M Sistonen P Paetau A Salovaara R Herva R Launonen V Aaltonen LA;Multiple Leiomyoma Consortium 《Nature genetics》2002,30(4):406-410
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Wehrli M Dougan ST Caldwell K O'Keefe L Schwartz S Vaizel-Ohayon D Schejter E Tomlinson A DiNardo S 《Nature》2000,407(6803):527-530
The Wnt family of secreted molecules functions in cell-fate determination and morphogenesis during development in both vertebrates and invertebrates (reviewed in ref. 1). Drosophila Wingless is a founding member of this family, and many components of its signal transduction cascade have been identified, including the Frizzled class of receptor. But the mechanism by which the Wingless signal is received and transduced across the membrane is not completely understood. Here we describe a gene that is necessary for all Wingless signalling events in Drosophila. We show that arrow gene function is essential in cells receiving Wingless input and that it acts upstream of Dishevelled. arrow encodes a single-pass transmembrane protein, indicating that it may be part of a receptor complex with Frizzled class proteins. Arrow is a low-density lipoprotein (LDL)-receptor-related protein (LRP), strikingly homologous to murine and human LRP5 and LRP6. Thus, our data suggests a new and conserved function for this LRP subfamily in Wingless/Wnt signal reception. 相似文献
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iASPP oncoprotein is a key inhibitor of p53 conserved from worm to human 总被引:39,自引:0,他引:39
Bergamaschi D Samuels Y O'Neil NJ Trigiante G Crook T Hsieh JK O'Connor DJ Zhong S Campargue I Tomlinson ML Kuwabara PE Lu X 《Nature genetics》2003,33(2):162-167
We have previously shown that ASPP1 and ASPP2 are specific activators of p53; one mechanism by which wild-type p53 is tolerated in human breast carcinomas is through loss of ASPP activity. We have further shown that 53BP2, which corresponds to a C-terminal fragment of ASPP2, acts as a dominant negative inhibitor of p53 (ref. 1). Hence, an inhibitory form of ASPP resembling 53BP2 could allow cells to bypass the tumor-suppressor functions of p53 and the ASPP proteins. Here, we characterize such a protein, iASPP (inhibitory member of the ASPP family), encoded by PPP1R13L in humans and ape-1 in Caenorhabditis elegans. iASPP is an evolutionarily conserved inhibitor of p53; inhibition of iASPP by RNA-mediated interference or antisense RNA in C. elegans or human cells, respectively, induces p53-dependent apoptosis. Moreover, iASPP is an oncoprotein that cooperates with Ras, E1A and E7, but not mutant p53, to transform cells in vitro. Increased expression of iASPP also confers resistance to ultraviolet radiation and to cisplatin-induced apoptosis. iASPP expression is upregulated in human breast carcinomas expressing wild-type p53 and normal levels of ASPP. Inhibition of iASPP could provide an important new strategy for treating tumors expressing wild-type p53. 相似文献
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Tenesa A Farrington SM Prendergast JG Porteous ME Walker M Haq N Barnetson RA Theodoratou E Cetnarskyj R Cartwright N Semple C Clark AJ Reid FJ Smith LA Kavoussanakis K Koessler T Pharoah PD Buch S Schafmayer C Tepel J Schreiber S Völzke H Schmidt CO Hampe J Chang-Claude J Hoffmeister M Brenner H Wilkening S Canzian F Capella G Moreno V Deary IJ Starr JM Tomlinson IP Kemp Z Howarth K Carvajal-Carmona L Webb E Broderick P Vijayakrishnan J Houlston RS Rennert G Ballinger D Rozek L Gruber SB 《Nature genetics》2008,40(5):631-637
In a genome-wide association study to identify loci associated with colorectal cancer (CRC) risk, we genotyped 555,510 SNPs in 1,012 early-onset Scottish CRC cases and 1,012 controls (phase 1). In phase 2, we genotyped the 15,008 highest-ranked SNPs in 2,057 Scottish cases and 2,111 controls. We then genotyped the five highest-ranked SNPs from the joint phase 1 and 2 analysis in 14,500 cases and 13,294 controls from seven populations, and identified a previously unreported association, rs3802842 on 11q23 (OR = 1.1; P = 5.8 x 10(-10)), showing population differences in risk. We also replicated and fine-mapped associations at 8q24 (rs7014346; OR = 1.19; P = 8.6 x 10(-26)) and 18q21 (rs4939827; OR = 1.2; P = 7.8 x 10(-28)). Risk was greater for rectal than for colon cancer for rs3802842 (P < 0.008) and rs4939827 (P < 0.009). Carrying all six possible risk alleles yielded OR = 2.6 (95% CI = 1.75-3.89) for CRC. These findings extend our understanding of the role of common genetic variation in CRC etiology. 相似文献
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Tomlinson IP Webb E Carvajal-Carmona L Broderick P Howarth K Pittman AM Spain S Lubbe S Walther A Sullivan K Jaeger E Fielding S Rowan A Vijayakrishnan J Domingo E Chandler I Kemp Z Qureshi M Farrington SM Tenesa A Prendergast JG Barnetson RA Penegar S Barclay E Wood W Martin L Gorman M Thomas H Peto J Bishop DT Gray R Maher ER Lucassen A Kerr D Evans DG;CORGI Consortium Schafmayer C Buch S Völzke H Hampe J Schreiber S John U Koessler T Pharoah P van Wezel T Morreau H Wijnen JT Hopper JL 《Nature genetics》2008,40(5):623-630
To identify colorectal cancer (CRC) susceptibility alleles, we conducted a genome-wide association study. In phase 1, we genotyped 550,163 tagSNPs in 940 familial colorectal tumor cases (627 CRC, 313 high-risk adenoma) and 965 controls. In phase 2, we genotyped 42,708 selected SNPs in 2,873 CRC cases and 2,871 controls. In phase 3, we evaluated 11 SNPs showing association at P < 10(-4) in a joint analysis of phases 1 and 2 in 4,287 CRC cases and 3,743 controls. Two SNPs were taken forward to phase 4 genotyping (10,731 CRC cases and 10,961 controls from eight centers). In addition to the previously reported 8q24, 15q13 and 18q21 CRC risk loci, we identified two previously unreported associations: rs10795668, located at 10p14 (P = 2.5 x 10(-13) overall; P = 6.9 x 10(-12) replication), and rs16892766, at 8q23.3 (P = 3.3 x 10(-18) overall; P = 9.6 x 10(-17) replication), which tags a plausible causative gene, EIF3H. These data provide further evidence for the 'common-disease common-variant' model of CRC predisposition. 相似文献
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人工神经网络及其在金融预报中的应用 总被引:5,自引:0,他引:5
讨论了人工神经网络在金融汇率预报中的应用。其中介绍了广义交互验证(Generalized Cross Validation)法如何应用于确定神经网络中隐层的个数,并用实例说明了该方法甚至对复杂的非线性函数也可以得到很好的逼近。详细地介绍了运用人工神经网络作两周向前汇率预报的计算步骤。其平均相对误差(APE)为10*E-3的数量级,而国际上通用的状态空间模型及Box-Jenkins的ARIMA模型的预报误差都在10*E-2的数量级。 相似文献