A Noise-Filtering Method for Link Prediction in Complex Networks

Link prediction plays an important role in both finding missing links in networked systems and complementing our understanding of the evolution of networks. Much attention from the network science community are paid to figure out how to efficiently predict the missing/future links based on the observed topology. Real-world information always contain noise, which is also the case in an observed network. This problem is rarely considered in existing methods. In this paper, we treat the existence of observed links as known information. By filtering out noises in this information, the underlying regularity of the connection information is retrieved and then used to predict missing or future links. Experiments on various empirical networks show that our method performs noticeably better than baseline algorithms.     

杜仲叶片不同发育时期数字基因表达谱分析

为在转录水平解析杜仲叶片发育过程中的基因表达模式,该研究通过数字基因表达谱技术对‘华仲6号’杜仲叶片从展叶(4月)到落叶(10月)不同发育时期的基因表达水平进行比较分析,共获得差异基因3 002个,其中1 764个表达量上调,1 238个下调,这些差异表达基因主要行使催化、氧化还原等功能,参与代谢过程和生物过程等;进一步Pathway富集分析发现,苯丙素类生物合成途径相关基因被富集,其中调控绿原酸合成的6个基因差异表达显著;对这些基因表达模式进行分析显示,4月中旬和9月中旬基因的表达量较高,暗示这两个时期对于绿原酸的合成具有重要作用。荧光定量RT-PCR检测6个绿原酸合成相关基因和12个随机选择的差异表达基因,验证结果显示表达谱测序结果可靠。该研究结果为揭示杜仲叶片在不同发育时期的分子调控机制奠定了基础,并为深入解析杜仲绿原酸合成机理,进而通过分子育种手段提高杜仲绿原酸含量提供新的路径。     

TK1与LDH联合检测对非霍奇金淋巴瘤鉴别诊断及疗效评估的作用

目的:探讨联合检测血清胸苷激酶1(TK1)与乳酸脱氢酶(LDH)水平在非霍奇金淋巴瘤(NHL)患者鉴别诊断及疗效监测中的临床意义。方法:收集2016年1月至2018年6月我院诊治的111例非霍奇金淋巴瘤的初诊患者血清标本,并选择50例正常人血清标本作为对照,采用免疫印迹增强发光法检测TK1浓度,比色法检测LDH浓度。所有患者随访至少1年,分析和比较惰性NHL与侵袭性NHL及各自四类分期之间血清TK1和LDH水平的差异,化疗后完全缓解、部分缓解与未缓解组LDH水平以及NHL患者中血清TK1和LDH的阳性率。结果:高度侵袭性NHL患者和侵袭性NHL患者血清TKI和LDH水平与惰性NHL患者相比显著增高(P0.05),但惰性NHL患者血清TK1和LDH水平与正常组之间差异无统计学意义(P0.05);Ⅲ、Ⅳ期侵袭性NHL患者血清TK1和LDH水平与Ⅰ、Ⅱ期患者相比显著增高(P0.05)。与化疗前相比,四次化疗后,完全缓解组NHL患者血清LDH水平下降21.05%,部分缓解组为16.66%,病情稳定组血清LDH水平升高至11.54%,三组NHL患者血清LDH水平比较差异具有统计学意义(P0.008),两组之间的差异均有统计学意义(P0.05)。结论:联合检测血清TK1和LDH水平对于NHL患者的鉴别诊断、疗效评估均具有重要参考价值。