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| 1 | Nonpathogenic SIV infection of African green monkeys induces a strong but rapidly controlled type I IFN response 显示文摘 | Jacquelin B Mayau V Targat B | 2009 | J ClinI Invest2009，119，12： | 1 |
| 2 | Nonpathogenic SIV infection of African green monkeys induces a strong but rapidly controlled type I IFN response显示文摘 | Jacquelin Béatrice Mayau Véronique Targat Brice Liovat Anne-Sophie Kunkel Désirée Petitjean Ga?l Dillies Marie-Agnès Roques Pierre Butor Cécile Silvestri Guido Giavedoni Luis D Lebon Pierre Barré-Sinoussi Fran?oise Benecke Arndt Müller-Trutw | 2009 | Journal of Clinical Investigation2009，，： | 1 |
| 3 | Hyperpolarizability effects in a Sr optical lattice clock显示文摘 | BRUSCH A TARGAT R L BAILLARD X | 2006 | Physical Review Letters2006，96，10： | 1 |
| 4 | Nonpathogenic SIV infection of African green monkeys induces a strong but rapidly controlled type I IFN response显示文摘 | Jacquelin B Mayau V Targat B | 2009 | J Clin Invest2009，119，： | 1 |
| 5 | Nonpathogenic SIV infection of African green monkeys induces a strong but rapidly controlled type I IFN response显示文摘 | Jacquelin B Mayau V Targat B | 2009 | J Clin Invest2009，119，12： | 1 |
| 6 | Accurate Optical Lattice Clock with87Sr Atoms 显示文摘 | LE TARGAT R BAILLARD X FOUCH M | 2006 | Physical review letters2006，97，13： | 1 |
| 7 | Nonpathogenic S1V infection of African green monkeys induces a strong but rapidly controlled type I IFN response显示文摘 | Jacquelin B Mayau V Targat B | 2009 | J Clin Invest2009，119，： | 1 |
| 8 | 包浩斯的岁月显示文摘差不多是紧接着日尔曼帝国的衰落,1919年春,刚成立的共和国委任建筑师瓦尔特·格罗皮斯在魏玛建立包浩斯学院,又叫国立建筑大楼,意思是要将建筑,艺术与工艺的教学揉合在一起。在这学院里康定斯基找到了一个差不多是为他而设的位置,因为教学是基于综合造型艺术对理论与实践两方面的要求之上的。这一主张并不是新的,但在此之前许多同样的尝试都失败了。在十九世纪下半叶,这些运动受了社会美学的激励, | FRANCOIS LE TARGAT KENNETH LYONS 苏为 | 1992 | 艺苑(美术版)1992，，3： | 0 |
| 9 | CDS:A Fold-change Based Statistical Test for Concomitant Identification of Distinctness and Similarity in Gene Expression Analysis显示文摘The problem of identifying differential activity such as in gene expression is a major defeat in biostatistics and bioinformatics.Equally important,however much less frequently studied,is the question of similar activity from one biological condition to another.The foldchange,or ratio,is usually considered a relevant criterion for stating difference and similarity between measurements.Importantly,no statistical method for concomitant evaluation of similarity and distinctness currently exists for biological applications.Modem microarray,digital PCR(dPCR),and Next-Generation Sequencing(NGS) technologies frequently provide a means of coefficient of variation estimation for individual measurements.Using fold-change,and by making the assumption that measurements are normally distributed with known variances,we designed a novel statistical test that allows us to detect concomitantly,thus using the same formalism,differentially and similarly expressed genes(http://gffzzfb69b35d70eb4256hxbpvfkcxkqwv6k96.ffgz.tsg.suse.edu.cn).Given two sets of gene measurements in different biological conditions,the probabilities of making type I and type II errors in stating that a gene is differentially or similarly expressed from one condition to the other can be calculated.Furthermore,a confidence interval for the fold-change can be delineated.Finally,we demonstrate that the assumption of normality can be relaxed to consider arbitrary distributions numerically.The Concomitant evaluation of Distinctness and Similarity(CDS) statistical test correctly estimates similarities and differences between measurements of gene expression.The implementation,being time and memory efficient,allows the use of the CDS test in high-throughput data analysis such as microarray,dPCR,and NGS experiments.Importantly,the CDS test can be applied to the comparison of single measurements(N:1) provided the variance(or coefficient of variation) of the signals is known,making CDS a valuable tool also in biomedical analysis where typically a single measurement per subject is available. | Nicolas Tchitchek José Felipe Golib Dzib Brice Targat Sebastian Noth Arndt Benecke Annick Lesne | 2012 | Genomics, Proteomics & Bioinformatics2012，10，3： | 0 |
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