1,720,966 research outputs found
Cell metadata for "The emergent landscape of the mouse gut endoderm at single-cell resolution"
No full text<p>Cell metadata for the data published in "The emergent landscape of the mouse gut endoderm at single-cell resolution"</p>
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Computational modeling of gene regulatory programs in differentiation and disease
No full textCell state transitions are tightly controlled by numerous regulatory mechanisms to achieve cellular differentiation. Dysregulation of these regulatory mechanisms through the acquisition of somatic mutations and/or copy number changes can lead to oncogenic transformation. Binding of transcription factors (TFs) to regulatory elements is a primary mechanism controlling gene expression. TFs work in conjunction with chromatin to either activate or repress specific genes. miRNA-mediated degradation is another key regulatory mechanism involved in post transcriptional repression of genes. Genomics projects like ENCODE, Roadmap Epigenomics, TCGA and others are generating rich datasets across cell lines, primary tissues and cancers. These datasets enable computational modeling of transcriptional and miRNA mediated regulation. In this thesis, I will present our work on integrating multimodal datasets along with DNA sequence information to decipher novel regulatory programs in human disease and differentiation. First, we use the TCGA generated GBM dataset as a case study to infer gene regulatory programs in disease. We model the gene expression change in GBM relative to normal brain as a function of copy number of the gene, and TF and miRNA binding sites in the promoter and 3'UTR respectively. We use regularized least squares regression to fit the expression change of all genes for each sample. This framework achieves significant accuracy compared to randomized gene expression values and clustering of regression models recapitulates expression subtypes. We then employ a multi-task learning framework to learn regression models of all samples simultaneously and define a feature-scoring scheme to identify subtype-specific and common regulators. Using these experiments and literature search, we were able to identify a core regulatory network centered at the REST repression complex in the proneural subtype of GBM. I will then present our work on characterizing regulatory changes in hematopoietic differentiation primarily using DNase-seq enhancer maps from the Roadmap Epigenomics project. We first developed a tool, SeqGL, which demonstrates significantly greater sensitivity to binding signals underlying enhancer maps compared to traditional motif discovery algorithms. We then characterize the locus complexity, defined as number of DNase peaks assigned to a gene, in the hematopoietic system and observe that high complexity genes tend to be cell-type specific in expression and are enriched for functionally relevant ontologies. Furthermore, we observe extensive poising of enhancers in progenitor cells for function in differentiated cell types. We then use SeqGL scores to predict gene expression change in a transition from stem and progenitor cells to differentiated cell types with high accuracy and identify a potentially novel mechanistic role for PU.1 in B cell and monocyte specification
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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