Global ETD Search
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Showing 1 to 20 of 58 for “"POLYA"”.
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ΜΟΝΟΔΙΑΣΤΑΤΕΣ ΚΑΙ ΠΟΛΥΔΙΑΣΤΑΤΕΣ ΚΑΤΑΝΟΜΕΣ POLYA ΚΑΙ ΑΝΑΣΤΡΟΦΗ POLYA ΤΑΞΕΩΣ Κ
… HYPERGEOMETRIC, INVERSE NEGATIVE HYPERGEOMETRIC, POLYA, INVERSE POLYA AND UNIFORM DISTRIBUTION OF ORDER K ON THE INTEGERS 1,....,K. WE DERIVE THE MOMENT GENERATING FUNCTIONS, MEANS AND VARIANCES OF THESE DISTRIBUTIONS, WE ESTABLISH SEVERAL ASYMPTOTICRELATIONSHIPS OF THEM AND WE OBTAIN THE MOMENT …
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Applications and Computation of Stateful Polya Trees
<p>Polya trees are a class of nonparametric priors on distributions which are able to model absolutely continuous distributions directly, rather than modeling a discrete distribution over parameters of a mixing kernel to obtain an absolutely continuous distribution. The Polya tree discretizes the …
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A class of sequential exploratory general cognitive diagnosis models using a polya-gamma data augmentation strategy
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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PolyA signals located near 5’ of genes are silenced by a general mechanism that prevents premature 3’ end processing
PolyA signals located at the 3’ end of eukaryotic genes drive the cleavage and polyadenylation reaction to the nascent pre-mRNA. Although these sequences are expected only at the 3’ end of genes, we found that strong polyA signals are also present within the 5’ untranslated regions (UTRs) of many …
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Polyadenylation of ribosomal RNA in response to picornavirus infection in honey bees (Apis mellifera)
… cause severe declines in honey bee populations. Polyadenylated (polyA) rRNA has been associated with honey bees infected with viruses in past studies. In bacteria, yeast, and some mammals, polyA rRNA serves as a molecular marker for the degradation of rRNA. Honey bees may be utilizing polyA rRNA …
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Bayesian Nonparametric Models and Tests for Association in Survival Data
… normal, or log-logistic, specifically the Polya tree prior and a novel transformed Bernstein polynomial prior. Both priors start from an initial parametric model, but then allow data to add details that deviate from the parametric family; thus both priors blend the merits of parametric and …
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A Semi-Supervised Predictive Model to Link Regulatory Regions to Their Target Genes
… tailored for analyzing gene transcription and polyadenylation are presented.</p><p>Transcriptional enhancers are specific DNA sequences that act as ``information integration hubs" to confer regulatory requirements on a given cell. These non-coding DNA sequences can regulate genes from long …
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On the zeros of the derivatives of some entire functions
… broader classes of functions the theorems in G. Polya's very fine paper on the limit points of the zeros of the successive derivatives of entire functions.
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Polyaseeker: a computational framework for identifying polyadenylation cleavage site from RNA-seq
Alternative polyadenylation (APA) of mRNA plays a crucial role for post-transcriptional gene regulation. Recently, advances in next generation sequencing technology have made it possible to efficiently characterize the transcriptome and identify the 3'end of polyadenylated RNAs. However, no …
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Genetic Epidemiology of Polyautoimmunity and Common Autoimmunity in Colombia — Proof of Principle
… en pacientes con EA, poliautoimmunidad (polyA) (presentar por lo menos dos AD) y el síndrome autoinmune múltiple (MAS) (presentar tres o más EA). Por otra parte, se examinó el efecto y la importancia de la homocigosis y la ancestría en individuos afectados colombianos con respecto a …
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A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
… system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the …
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Linear Programming Decoding for Non-Uniform Sources and for Binary Channels With Memory
… channel and the infinite-memory non-ergodic Polya-contagion channel. For the Markov channel, no linear cost function corresponding to maximum likelihood (ML) decoding could be obtained and hence it is unclear how to proceed. For the Polya channel, two LP-based decoders are developed. The …
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Tolerizing Effects of Soluble CD137 on the CD137-CD137L Signaling Axis for Exploitation as a Therapeutic in Type 1 Diabetes
… la DT1, la incidencia de la poliautoinmunidad (PolyA) y el papel del CD137 soluble (sCD137) como un biomarcador confiable para el diagnóstico y seguimiento de la autoinmunidad. Además, presentamos el diseño y la validación de una nueva inmunoterapia para la autoinmunidad que busca evitar la …
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Finite Groups Acting on Sets With Applications
… involving finite group action on sets, the Polya-Burnside Theorem, and the First and Second Sylow Theorems. The purpose or aim of this thesis is to give the mathematical proofs and solutions to the selected propositions. However, it will be assumed that the reader has had a first course in …
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The role of clinical, biological, and socioeconomic factors on the development of resilience in women with autorimmune rheumatic diseases : a cross-sectional study
… status, excersice, severity of symptoms and polyautoimmunity (PolyA) were evaluated by surveys and chart reviews. A panel of 15 serum cytokines and 14 autoantibodies were evaluated simultaneously. Bivariate, classification and regression trees (CART), and multiple linear regressions were used …
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Role of Drosophila Orb2 (CPEB) in Synaptic Protein Synthesis
… of mRNA binding proteins known as Cytoplasmic Polyadenylation Element (CPE) binding proteins is essential for persistent change in experience-dependent synaptic efficacy and persistence of memory. Moreover specific CPEB family members demonstrate biophysical properties that are associated with …
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Fast algorithms for Bayesian variable selection
… to logistic regression by incorporating the Polya-Gamma data-augmentation trick (Polson et al., 2013), which links our algorithm for linear regression with logistic regression. However, as the variational algorithm needs to update the variational distribution of all the latent Polya-Gamma …
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Stage-specific profiling of the transcriptome during oogenesis and identification of a novel type of small RNA within the zebrafish ($\textit{Danio rerio}$)
… were characterized using whole molecule polyA RNA-Seq. An in depth analysis of the transcriptomes elucidated the timings of important oogenic events and identified specific expression patterns within each stage. Finally, I compared the small RNA of stage I oocytes with polyA RNA to …
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Architecture of eukaryotic mRNA 3' end processing machinery and insights into the mechanism of polyadenylation
… all eukaryotic messenger RNAs (mRNAs) have a polyadenosine (polyA) tail at their 3′ end that is added by a multi-protein complex known as cleavage and polyadenylation factor (CPF). CPF, along with accessory cleavage factors (CF) IA and IB, cleaves the pre-mRNA within the 3' untranslated region …
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The Ph(t)/Ph(t)/s/c Queueing Model and Approximation
… or M(t)/M(t)/1 queueing models. We then use the Polya-Eggenberger distribution to approximate certain unknown probabilities via a two-moment matching algorithm. We describe the necessary steps to validate the approximation and measure the accuracy of the model.
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