25 research outputs found

    Communication and Timidity in The Zoo Story

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    Edward Albee made his debut with The Zoo Story in 1951. There are only two characters in this play: Jerry and Peter. Jerry has a strong eagerness to “really talk; like to get to know somebody, know all about him”(Albee 19), but he cannot communicate with the others. Jerry attempts to make Peter recognize the problem of superficial or manualized communication, which prevents people from ‘talking’ and makes them lonely, but Peter pretends not to notice it. This shows their different attitudes toward life which is restricted not only physically but also mentally by the biopower in modern society. This paper examines the biopolitical reading of The Zoo Story. The different recognition of life, especially bios and zoé, of Jerry and Peter reveals the loneliness caused by timidity in communicating which is common between Jerry and Peter even though they appear to be in contrast.departmental bulletin pape

    Fold ratio of differentially expressed reproduction-related genes.

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    <p>Barplot of the ratio of expression of Mayotte over Gotheron for reproduction related genes overexpressed in Mayotte.</p

    Left: Local estimation of dispersion.

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    <p>Dispersion parameter estimates as a function of the mean expression (log-scale). Each point corresponds to a gene. The purple and blue curves represent the Loess and Quadratic Regression estimates, respectively. <b>Right:</b> Histogram of the p-values for the G vs M comparison.</p

    Fold ratio of differentially expressed GST/UGT genes.

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    <p>Barplot of the ratio of expression of Gotheron over Mayotte for Glutathione and glucuronosyl transferase genes overexpressed in the Rhône Valley.</p

    Experimental design.

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    <p>Each replicate involved a hundred males each from a wild-caught female. We sequenced two replicates per population, one from a cornmeal medium, and the other from a natural medium.</p

    Gene ontology terms for genes overexpressed in Gotheron compared with France.

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    <p>With N the number of genes with the term in the query; X the number of genes with the term in the genome; P-value of the significance of the overrepresentation of the term in query compared to genome, processed with FuncAssociate <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0079750#pone.0079750-Berriz1" target="_blank">[43]</a>; GO ID and GO term, respectively the identifier and the corresponding term of Gene Ontology.</p

    Statistical methodology for the analysis of dye-switch microarray experiments-1

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    ML estimates versus ML estimates. UP estimates versus ML estimates.<p><b>Copyright information:</b></p><p>Taken from "Statistical methodology for the analysis of dye-switch microarray experiments"</p><p>http://www.biomedcentral.com/1471-2105/9/98</p><p>BMC Bioinformatics 2008;9():98-98.</p><p>Published online 13 Feb 2008</p><p>PMCID:PMC2277403.</p><p></p

    Statistical methodology for the analysis of dye-switch microarray experiments-4

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    Fferentially expressed genes of Table 5.<p><b>Copyright information:</b></p><p>Taken from "Statistical methodology for the analysis of dye-switch microarray experiments"</p><p>http://www.biomedcentral.com/1471-2105/9/98</p><p>BMC Bioinformatics 2008;9():98-98.</p><p>Published online 13 Feb 2008</p><p>PMCID:PMC2277403.</p><p></p

    Fold ratio of differentially expressed CYP450 genes.

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    <p>Barplot of the ratio of expression of Gotheron over Mayotte for Cytochrome P450 genes overexpressed in the Rhône Valley.</p

    Statistical methodology for the analysis of dye-switch microarray experiments-0

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    REML, horizontal low rectangle: UP, bone: N and circle: ML.<p><b>Copyright information:</b></p><p>Taken from "Statistical methodology for the analysis of dye-switch microarray experiments"</p><p>http://www.biomedcentral.com/1471-2105/9/98</p><p>BMC Bioinformatics 2008;9():98-98.</p><p>Published online 13 Feb 2008</p><p>PMCID:PMC2277403.</p><p></p
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