Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"data analysis pipelines"”.
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Statistical modelling to determine the influence of vaccine dose and prior Mycobacterium tuberculosis exposure on antigen-specific T cell responses
… is able to provide greater insight into the data. Methods typically employed by the immunology community that are used in this thesis are non-parametric pair-wise tests and the data analysis pipelines mixture models for single-cell assays (MIMOSA) and combinatorial polyfunctionality analysis …
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Single-cell analyses of tumor-infiltrating immune cells
… responses to anti-PD-1 immunotherapy. Data analysis pipelines that allow for the mining of this data for novel cell subpopulations are also discussed. Based on our immunophenotypic analysis (multispectral image-based cytometry), we have discovered subpopulations of CD8+ T cells …
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Automatisches Segmentieren von Mikroarraybildern
… in scientific as well as industrial research. Analysis of microarray images is a bottleneck of array data analysis pipelines, as it is usually performed using interactive computer programs. Apart from practical concerns, automation of microarray gridding and feature segmentation is most …
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Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-Transfer Modeling
… and few available spectral bands produce data with low signal-to-noise ratios, a Bayesian approach can robustly reveal what constraints we can set, without over-interpreting the data. Here I performed an end-to-end analysis of transiting exoplanet data. I analyzed space-telescope data for …
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Isoform-Specific Expression During Embryo Development in Arabidopsis and Soybean
… soybean embryo development. I developed several data analysis pipelines for the detection and the functional characterization of active splice variants and splicing factors that arise during embryo development. The main goal of this dissertation was to identify transcriptional changes associated …
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Deep learning methods for enabling real-time gravitational wave and multimessenger astrophysics
… (glitches) that frequently contaminate the data and separating them from true GW signals is yet another difficult challenge. Currently, the most sensitive data analysis pipelines are limited by the extreme computational costs of template-matching methods and thus are unable to scale to all …
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Stellar occultations by bodies in the outer solar system at the South African Astronomical Observatory
… we describe the telescopes, instruments and data analysis pipelines that are used for the SAAO stellar occultation program. The stellar occultation results are obtained from the slightly modified, data reducing SHOC pipeline as originally developed by Dr. Marissa Kotze. The SHOC pipeline laid …
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Quantifying methodological uncertainties and navigating feasibilities in monitoring of cerebral autoregulation - Towards individualised management of TBI.
… groundwork necessary for state-of-the-art data analysis of high-resolution physiological measurements. Conducting reliable, reproducible, high-quality, and ethical research comes with specific requirements. To meet these, I focused on several key aspects: obtaining ethical approval for the …