1,720,955 research outputs found
Human Phenotype Prediction Through use of Variant Data in Metabolic Modeling
Get PDFFøremålet med dette prosjektet var utvikling av ein metode for bruk av variasjonsdata til å selektere gen for fjerning i metabolsk modellering. Motivasjonen er moglegheita til å kunne oppdage sjukdomsframkallande variantar, samtidig som at mekanismane for sjukdommen kan bli beskrive. Variasjonsdata frå 2548 individ frå 1000 genom prosjektet, samt PheWAS data blei brukt i seleksjonen. Hovudfokuset var på SNPs, og spesielt ikkjesynonyme SNPs som produserer premature stop-kodon. Dette grunna deira meir destruktive natur, som vidare gir breiare grunnlag for fjerning av genet. For individ variantane ga dette 2600 SNPs som blei brukt til å produsere gen kombinasjonar for fjerning, basert på SNP kombinasjonane i individa. Ei rekke organ-spesifikke modellar basert på Human1 modellen blei brukt til FBA analyse. Spesifikke metabolske funksjonar blei testa gjennom bruk av konkrete oppgåver. Disse oppgåvene viste seg å vere svært nyttige i å avdekke problem forårsaka av manglande gen, med mange resultat som ikkje ville ha blitt oppdaga utan. I sum var metoden i ei rekke tilfelle vellykka i å reprodusera effekten av ein SNP, basert på allereie observert sjukdom.In this project, a method was developed with the purpose of using variant data, primarily SNPs, to perform knockout metabolic modeling, in an attempt to predict diseases caused by the SNPs in question. This approach would not only allow detection of disease-causing SNPs, but also describing the mechanism behind a given disease. The data used was from 2548 individuals from the 1000 Genomes Project, as well as PheWAS data. Combinations of genes for knockout were generated based on SNPs present in the individual, and for PheWAS, SNPs associated with each other. There was a primary focus on nonsense SNPs as they are more likely to cause loss of function. For the individual data, some 2600 such SNPs were identified. These combinations then formed the basis for which genes would be knocked out when performing flux balance analysis (FBA). A number of Human1 based tissue specific models were used for the analysis. Additionally, metabolic tasks were used to further analyze the effects of the knockouts. The purpose of these tasks is to test specific biological functions within the models, and they proved instrumental in detecting issues caused by the knockouts, including many that would have otherwise gone unnoticed. To conclude, for several cases, the approach was successful in predicting disease, with the results matching what was expected based on existing literature
Human Phenotype Prediction Through use of Variant Data in Metabolic Modeling
No full textFøremålet med dette prosjektet var utvikling av ein metode for bruk av variasjonsdata til å selektere gen for fjerning i metabolsk modellering. Motivasjonen er moglegheita til å kunne oppdage sjukdomsframkallande variantar, samtidig som at mekanismane for sjukdommen kan bli beskrive. Variasjonsdata frå 2548 individ frå 1000 genom prosjektet, samt PheWAS data blei brukt i seleksjonen. Hovudfokuset var på SNPs, og spesielt ikkjesynonyme SNPs som produserer premature stop-kodon. Dette grunna deira meir destruktive natur, som vidare gir breiare grunnlag for fjerning av genet. For individ variantane ga dette 2600 SNPs som blei brukt til å produsere gen kombinasjonar for fjerning, basert på SNP kombinasjonane i individa. Ei rekke organ-spesifikke modellar basert på Human1 modellen blei brukt til FBA analyse. Spesifikke metabolske funksjonar blei testa gjennom bruk av konkrete oppgåver. Disse oppgåvene viste seg å vere svært nyttige i å avdekke problem forårsaka av manglande gen, med mange resultat som ikkje ville ha blitt oppdaga utan. I sum var metoden i ei rekke tilfelle vellykka i å reprodusera effekten av ein SNP, basert på allereie observert sjukdom
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
- …
