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| 1 | How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes显示文摘在学习 mRNA 表示的一个关键假设是它在蛋白质表示的预言是增进知识的。然而,仅仅有限的研究在酵母探索了 mRNA 蛋白质表示关联或人的纸巾和结果是相对不一致的。我们从 30 个无关的女人在刚孤立的人的传播单核白血球在 mRNA 蛋白质表情上执行了关联分析。为 71 基因的表示蛋白质被确定并且由结合的 2-D 电气泳动识别了集体 spectrometry。相应 mRNA 表达式被 Affymetrix 基因芯片确定。重要关联(r=0.235, P < 0.0001 ) 包括所有学习基因和所有样品为整个数据集被观察。关联在基因本体论的不同生物范畴变化了。例如,最高的关联以细胞的部件为细胞外的区域的基因被完成(r=0.643, P < 0.0001 ) 并且最低关联为规定的基因被获得(r=0.099, P=0.213 ) 以生物过程。在染色体,样品的一半证明为 71 基因的重要积极关联和重要关联在所有样品在平均 mRNA 和平均蛋白质表示层次之间被发现(r=0.296, P < 0.01 ) 。在学习组水平,然而,仅仅五学习基因越过所有样品有重要积极关联。我们的结果显示出在 mRNA 和蛋白质表示层次之间的全面积极关联。然而,中等、变化的关联建议那 mRNA 表情可能有时是有用的,但是远非当然在预言蛋白质表示层次完善。 | Yanfang Guo Peng Xiao Shufeng Lei Feiyan Deng Gary Guishan Xiao Yaozhong Liu Xiangding Chen Liming Li Shan Wu Yuan Chen Hui Jiang Lijun Tan Jingyun Xie Xuezhen Zhu Songping Liang Hongwen Deng | 2008 | Acta Biochimica et Biophysica Sinica2008，40，5： | 7 |
| 2 | Application of loop-mediated isothermal amplification for detection of Yersinia enterocolitica in pork meat显示文摘 | Hongwei Gao Zhiwen Lei Juntao Jia Shufeng Wang Ying Chen Min Sun Chengzhu Liang | 2009 | Journal of Microbiological Methods2009，，2： | 1 |
| 3 | Ultrasensitive immunoassay based on anodic near-infrared electro- chemiluminescence from dual-stabilizer-capped CdTe nanocrystals 显示文摘 | LIANG Guodong LIU Shufeng ZOU Guizheng | 2012 | Anal Chem2012，84，10： | 1 |
| 4 | Growth inhibition of a tongue squamous cell carcinoma cell line (Tca8113) in vitro and in vivo via siRNA-mediated down-regulation of skp2显示文摘 | Liang Fang Qingang Hu Zichun Hua Shufeng Li Wei Dong | 2008 | International Journal of Oral & Maxillofacial Surgery2008，，9： | 1 |
| 5 | A genome wide association study between copy number variation (CNV) and human height in Chinese population显示文摘Copy number variation (CNV) is a type of genetic variation which may have important roles in phenotypic variability and disease susceptibility. To hunt for genetic variants underlying human height variation, we performed a genome wide CNV association study for human height in 618 Chinese unrelated subjects using Affymetrix 500K array set. After adjusting for age and sex, we found that four CNVs at 6p21.3, 8p23.3-23.2, 9p23 and 16p12.1 were associated with human height (with borderline significant p value: 0.013, 0.011, 0.024, 0.049; respectively). However, after multiple tests correction, none of them was associated with human height. We observed that the gain of copy number (more than 2 copies) at 8p23.3-23.2 was associated with lower height (normal copy number vs. gain of copy number: 161.2 cm vs. 153.7 cm, p = 0.011), which accounted for 0.9% of height variation. Loss of copy number (less than 2 copies) at 6p21.3 was associated with 0.8% lower height (loss of copy number vs. normal copy number: 154.5 cm vs. 161.1 cm, p = 0.013). Since no important genes influencing height located in CNVs at loci of 8p23.3-23.2 and 6p21.3, the two CNVs may cause the structural rear- rangements of neighbored important candidate genes, thus regulates the variation of height. Our results expand our knowledge of the genetic factors underlying height variation and the biological regulation of human height. | Xi Li Lijun Tan Xiaogang Liu Shufeng Lei Tielin Yang Xiangding Chen Fang Zhang Yue Fang Yan Guo Liang Zhang Han Yan Feng Pan Zhixin Zhang Yumei Peng Qi Zhou Lina He Xuezhen Zhu Jing Cheng Lishu Zhang Yaozhong Liu Qing Tian Hongwen Deng | 2010 | Journal of Genetics and Genomics2010，37，12： | 1 |
| 6 | Attenuation Parameters of Blasting Vibration by Fuzzy Nonlinear Regression Analysis显示文摘In order to reduce the influence of outliers on the parameter estimate of the attenuation formula for the blasting vibration velocity,a fuzzy nonlinear regression method of Sadov’s vibration formula was proposed on the basis of the fuzziness of blasting engineering,and the algorithm was described in details as well.In accordance with an engineering case,the vibration attenuation formula was regressed by the fuzzy nonlinear regression method and the nonlinear least square method,respectively.The calculation results showed that the fuzzy nonlinear regression method is more suitable to the field test data.It differs from the nonlinear least square method because the weight of residual square in the objective function can be adjusted according to the membership of each data.And the deviation calculation of least square estimate of parameters in the nonlinear regression model verified the rationality of using the membership to assign the weight of residual square.The fuzzy nonlinear regression method provides a calculation basis for estimating Sadov’s vibration formula’s parameters more accurately. | Chen Li Shufeng Liang Yongchao Wang Long Li Dianshu Liu | 2020 | Journal of Beijing Institute of Technology2020，29，4： | 0 |
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