1,720,978 research outputs found
Detection and classification of positive selection in human populations
No full textDetecting positive selection in genomic regions is a recurrent topic in human population genetics studies. Over the years, many positive selection tests have been implemented to highlight specific genomic patterns left by a selective event when compared to neutral expectations. However, there is little consistency among the regions detected in several genome-wide scans using different tests and/or populations: population-specific demographic dynamics, local genomic features or different types of selection acting along the genome at different times and selective coefficients might explain such discrepancies. The present doctoral thesis is focused in the study of this problem and the development of a innovative solution: a machine-learning classification framework that exploits the combined ability of some selection tests to uncover the different features expected under the hard sweep model, such as sweep completeness and age of onset. The method was calibrated and applied to three reference populations from The 1000 Genome Project to generate a genome-wide classification map of hard selective sweeps. This study improves the way a selective sweep is detected by overcoming the classical selection vs. no-selection classification strategy, and offers an explanation to the lack of consistency observed among selection tests when applied to real data.La detecció de selecció positiva en regions genòmiques ha estat un tema recurrent en molts estudis de genètica de poblacions humanes. En conseqüència, durant els últims anys s'han publicat molts mètodes estadístics per detectar els senyals genòmics creats per un procés de selecció molecular. No obstant això, en general hi ha poca consistència entre les regions detectades pels diferents mètodes: dinàmiques demogràfiques especifiques de població, propietats locals de les regions analitzades o diferents tipus de selecció actuant a diferents marcs temporals i intensitats podrien explicar aquestes discrepàncies. Aquesta tesi doctoral està centrada en l'estudi d'aquest problema i en el desenvolupament d'una solució: un mètode de classificació de selecció positiva basat en algoritmes d'aprenentatge automàtic. El mètode combina diferents tests per detectar selecció positiva per obtenir informació sobre el tipus i mode de selecció que afecta una regió genòmica determinada. Aquest nou mètode presenta una alta sensitivitat cap a senyals de selecció positiva i és capaç de proveir informació sobre l'edat del esdeveniment selectiu, així com del seu estat final. Aquest treball millora la forma en què la selecció positiva és detectada avui en dia i proporciona una explicació a la falta de consistència observada entre els mètodes de detecció de selecció positiva quan s'apliquen en dades reals.Programa de doctorat en Biomedicin
Detection and classification of positive selection in human populations
Get PDFDetecting positive selection in genomic regions is a recurrent topic in human population genetics studies. Over the years, many positive selection tests have been implemented to highlight specific genomic patterns left by a selective event when compared to neutral expectations. However, there is little consistency among the regions detected in several genome-wide scans using different tests and/or populations: population-specific demographic dynamics, local genomic features or different types of selection acting along the genome at different times and selective coefficients might explain such discrepancies. The present doctoral thesis is focused in the study of this problem and the development of a innovative solution: a machine-learning classification framework that exploits the combined ability of some selection tests to uncover the different features expected under the hard sweep model, such as sweep completeness and age of onset. The method was calibrated and applied to three reference populations from The 1000 Genome Project to generate a genome-wide classification map of hard selective sweeps. This study improves the way a selective sweep is detected by overcoming the classical selection vs. no-selection classification strategy, and offers an explanation to the lack of consistency observed among selection tests when applied to real data.La detecció de selecció positiva en regions genòmiques ha estat un tema recurrent en molts estudis de genètica de poblacions humanes. En conseqüència, durant els últims anys s'han publicat molts mètodes estadístics per detectar els senyals genòmics creats per un procés de selecció molecular. No obstant això, en general hi ha poca consistència entre les regions detectades pels diferents mètodes: dinàmiques demogràfiques especifiques de població, propietats locals de les regions analitzades o diferents tipus de selecció actuant a diferents marcs temporals i intensitats podrien explicar aquestes discrepàncies. Aquesta tesi doctoral està centrada en l'estudi d'aquest problema i en el desenvolupament d'una solució: un mètode de classificació de selecció positiva basat en algoritmes d'aprenentatge automàtic. El mètode combina diferents tests per detectar selecció positiva per obtenir informació sobre el tipus i mode de selecció que afecta una regió genòmica determinada. Aquest nou mètode presenta una alta sensitivitat cap a senyals de selecció positiva i és capaç de proveir informació sobre l'edat del esdeveniment selectiu, així com del seu estat final. Aquest treball millora la forma en què la selecció positiva és detectada avui en dia i proporciona una explicació a la falta de consistència observada entre els mètodes de detecció de selecció positiva quan s'apliquen en dades reals.Programa de doctorat en Biomedicin
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
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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