1,721,044 research outputs found

    Context-specific bayesian clustering for gene expression data

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    The recent growth in genomic data and measurement of genomewide expression patterns allows to examine gene regulation by transcription factors using computational tools. In this work, we present a class of mathematical models that help in understanding the connections between transcription factors and functional classes of genes based on genetic and genomic data. These models represent the joint distribution of transcription factor binding sites and of expression levels of a gene in a single model. Learning a combined probability model of binding sites and expression patterns enables us to improve the clustering of the genes based on the discovery of putative binding sites and to detect which binding sites and experiments best characterize a cluster. To learn such models from data, we introduce a new search method that rapidly learns a model according to a Bayesian score. We evaluate our method on synthetic data as well as on real data and analyze the biological insights it provides. 1

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Abstract 1998: Transcriptome analysis of hypoxic head and neck cancer cells uncovers intron retention in EIF2B5 as a mechanism to reduce protein synthesis

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    Abstract Hypoxia is a key feature of solid tumors that contributes to resistance to therapy and reduced overall survival. Cellular adaptation to the hypoxic tumor microenvironment involves attenuation of energy-consuming processes such as macromolecular synthesis. We have identified RNA processing as another major process which is globally downregulated under hypoxic stress. By sequencing RNA of normoxic and hypoxic head and neck cancer cells, we observed widespread repression of genes that regulate RNA splicing and processing. As a result, we observed over 1,000 changes in relative mRNA isoform expression, including a significant increase in hypoxia-induced intron retention in nearly 100 genes. Genes observed to undergo intron retention in hypoxia included major regulators of RNA processing and protein synthesis, such as the translation initiation factor EIF2B5. Surprisingly, hypoxia-induced intron retention in EIF2B5 creates a premature termination codon, which results in a truncated protein isoform of eIF2Bϵ. We provide evidence that this isoform acts in opposition to the full-length protein to inhibit translation under stringent hypoxic conditions. Moreover, this intron is expressed in solid cancers known to contain hypoxic fractions and is overexpressed in head and neck cancer in a stage-dependent manner compared to normal tissue. To investigate how this intron is retained, we are examining the role of hypoxia-mediated changes in phosphorylation of the C-terminal domain (CTD) of RNA polymerase II. Our data suggest that increased phosphorylation of the CTD may lead to transcriptional pausing and subsequent retention of intron 12 in EIF2B5. Furthermore, distinct sequence features at this locus, such as a weak splice site at the intron12:exon13 junction, may explain how this intron is selectively retained in hypoxic cells. These results implicate mRNA splicing as a key mechanism to induce alternate transcripts and subsequent protein isoforms under hypoxia that influence cellular adaptation to stress. Citation Format: Lauren K. Brady, Hejia Wang, Caleb Radens, Milan Radovich, Amit Maity, Cristina Ivan, Mircea Ivan, Yoseph Barash, Constantinos Koumenis. Transcriptome analysis of hypoxic head and neck cancer cells uncovers intron retention in EIF2B5 as a mechanism to reduce protein synthesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1998. doi:10.1158/1538-7445.AM2017-1998</jats:p

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    An illuminated view of molecular biology

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