825 resultados para RM algorithm
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... offeriert vnd dediciert Von Martin Zimmerman, Burger vnd Kunstführer in Augspurg. [Mutmaßl. Stecher: Melchior Küsel]
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Ein dieser werthen Zunft mit Lieb und Neigung verbundenes Mitglied J. G. L. ; J. C. Zick fecit
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Text in die Platte graviert
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J. C. Berndt, Kupferstecher ...
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Abgezeichnet, in Kupffer gebracht vnd zu finden bey Johann Hauer Mahlern vnd Kunsthändlern in Nürnberg
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Jena, Univ., Diss.
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Der hinckende Bot
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Gelegenheitsschrift zur Wahl und Krönung von Matthias zum Römisch-Deutschen Kaiser
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Gelegenheitsschrift zur Wahl und Krönung von Matthias zum Römisch-Deutschen Kaiser
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SNP genotyping arrays have been developed to characterize single-nucleotide polymorphisms (SNPs) and DNA copy number variations (CNVs). The quality of the inferences about copy number can be affected by many factors including batch effects, DNA sample preparation, signal processing, and analytical approach. Nonparametric and model-based statistical algorithms have been developed to detect CNVs from SNP genotyping data. However, these algorithms lack specificity to detect small CNVs due to the high false positive rate when calling CNVs based on the intensity values. Association tests based on detected CNVs therefore lack power even if the CNVs affecting disease risk are common. In this research, by combining an existing Hidden Markov Model (HMM) and the logistic regression model, a new genome-wide logistic regression algorithm was developed to detect CNV associations with diseases. We showed that the new algorithm is more sensitive and can be more powerful in detecting CNV associations with diseases than an existing popular algorithm, especially when the CNV association signal is weak and a limited number of SNPs are located in the CNV.^
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The effectiveness of the Anisotropic Analytical Algorithm (AAA) implemented in the Eclipse treatment planning system (TPS) was evaluated using theRadiologicalPhysicsCenteranthropomorphic lung phantom using both flattened and flattening-filter-free high energy beams. Radiation treatment plans were developed following the Radiation Therapy Oncology Group and theRadiologicalPhysicsCenterguidelines for lung treatment using Stereotactic Radiation Body Therapy. The tumor was covered such that at least 95% of Planning Target Volume (PTV) received 100% of the prescribed dose while ensuring that normal tissue constraints were followed as well. Calculated doses were exported from the Eclipse TPS and compared with the experimental data as measured using thermoluminescence detectors (TLD) and radiochromic films that were placed inside the phantom. The results demonstrate that the AAA superposition-convolution algorithm is able to calculate SBRT treatment plans with all clinically used photon beams in the range from 6 MV to 18 MV. The measured dose distribution showed a good agreement with the calculated distribution using clinically acceptable criteria of ±5% dose or 3mm distance to agreement. These results show that in a heterogeneous environment a 3D pencil beam superposition-convolution algorithms with Monte Carlo pre-calculated scatter kernels, such as AAA, are able to reliably calculate dose, accounting for increased lateral scattering due to the loss of electronic equilibrium in low density medium. The data for high energy plans (15 MV and 18 MV) showed very good tumor coverage in contrast to findings by other investigators for less sophisticated dose calculation algorithms, which demonstrated less than expected tumor doses and generally worse tumor coverage for high energy plans compared to 6MV plans. This demonstrates that the modern superposition-convolution AAA algorithm is a significant improvement over previous algorithms and is able to calculate doses accurately for SBRT treatment plans in the highly heterogeneous environment of the thorax for both lower (≤12 MV) and higher (greater than 12 MV) beam energies.
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The overarching goal of the Pathway Semantics Algorithm (PSA) is to improve the in silico identification of clinically useful hypotheses about molecular patterns in disease progression. By framing biomedical questions within a variety of matrix representations, PSA has the flexibility to analyze combined quantitative and qualitative data over a wide range of stratifications. The resulting hypothetical answers can then move to in vitro and in vivo verification, research assay optimization, clinical validation, and commercialization. Herein PSA is shown to generate novel hypotheses about the significant biological pathways in two disease domains: shock / trauma and hemophilia A, and validated experimentally in the latter. The PSA matrix algebra approach identified differential molecular patterns in biological networks over time and outcome that would not be easily found through direct assays, literature or database searches. In this dissertation, Chapter 1 provides a broad overview of the background and motivation for the study, followed by Chapter 2 with a literature review of relevant computational methods. Chapters 3 and 4 describe PSA for node and edge analysis respectively, and apply the method to disease progression in shock / trauma. Chapter 5 demonstrates the application of PSA to hemophilia A and the validation with experimental results. The work is summarized in Chapter 6, followed by extensive references and an Appendix with additional material.
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The purpose of this research is to develop a new statistical method to determine the minimum set of rows (R) in a R x C contingency table of discrete data that explains the dependence of observations. The statistical power of the method will be empirically determined by computer simulation to judge its efficiency over the presently existing methods. The method will be applied to data on DNA fragment length variation at six VNTR loci in over 72 populations from five major racial groups of human (total sample size is over 15,000 individuals; each sample having at least 50 individuals). DNA fragment lengths grouped in bins will form the basis of studying inter-population DNA variation within the racial groups are significant, will provide a rigorous re-binning procedure for forensic computation of DNA profile frequencies that takes into account intra-racial DNA variation among populations. ^
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The fine balance between proliferation and apoptosis plays a primary role in carcinogenesis. Proto-oncogenes that induce both proliferation and apoptosis provide a powerful inbuilt system to inhibit clonal expansion of cells with high proliferation rates. This provides a restraint to the development of neoplasms. C-myc expressing cells undergo apoptosis in low serum by an unknown mechanism. Several lines of evidence suggested that c-myc induces apoptosis by a transcriptional mechanism. However, the target genes of this program have not been fully defined. Protein synthesis inhibitors induce apoptosis in c-myc over-expressing cells at high serum levels suggesting that inhibition of synthesis of a survival factor may induce apoptosis. We show that the expression of c-myc directly correlates with an increase in the level of a survival protein, bcl-$\rm x\sb{L},$ and a decrease in the pro-apoptotic protein, bax, at both the protein and mRNA level. Furthermore, a significant decrease of the bcl-$\rm x\sb{L}$ protein levels is observed under low serum conditions. In order to investigate the mechanism of regulation of bcl-$\rm x\sb{L}$ and bax by c-myc, the bcl-x and bax promoters were cloned, sequenced and shown to contain c-myc binding sites. The chloramephenicol acetyl transferase (CAT) reporter assay was used to demonstrate activation of the bcl-x promoter by increasing levels of c-myc when co-transfected in COS cells. The bax promoter was also shown to be transrepressed in c-myc expressing cells. The role of bcl-$\rm x\sb{L}$ in apoptosis regulation in c-myc cell lines in normal and low serum was then investigated. Cells lines expressing c-myc and bcl-$\rm x\sb{L}$ were generated and were shown to be resistant to apoptosis induction in low serum. Furthermore, cell lines expressing c-myc, anti-sense bcl-$\rm x\sb{L}$ and $\beta$-galactosidase demonstrated significantly enhanced rates of apoptosis in high serum compared to c-myc Rat 1a cells. These findings suggest that c-myc activates a survival program involving bcl-$\rm x\sb{L}$ upregulation and bax downregulation. However, this survival signal is reduced under low serum conditions by the relative downregulation of bcl-$\rm x\sb{L}$ allowing for apoptosis to proceed. These data also directly demonstrates that downregulation in the level of bcl-$\rm x\sb{L}$ associated with low serum conditions is a critical determinant of c-myc induced apoptosis. ^
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The electron pencil-beam redefinition algorithm (PBRA) of Shiu and Hogstrom has been developed for use in radiotherapy treatment planning (RTP). Earlier studies of Boyd and Hogstrom showed that the PBRA lacked an adequate incident beam model, that PBRA might require improved electron physics, and that no data existed which allowed adequate assessment of the PBRA-calculated dose accuracy in a heterogeneous medium such as one presented by patient anatomy. The hypothesis of this research was that by addressing the above issues the PBRA-calculated dose would be accurate to within 4% or 2 mm in regions of high dose gradients. A secondary electron source was added to the PBRA to account for collimation-scattered electrons in the incident beam. Parameters of the dual-source model were determined from a minimal data set to allow ease of beam commissioning. Comparisons with measured data showed 3% or better dose accuracy in water within the field for cases where 4% accuracy was not previously achievable. A measured data set was developed that allowed an evaluation of PBRA in regions distal to localized heterogeneities. Geometries in the data set included irregular surfaces and high- and low-density internal heterogeneities. The data was estimated to have 1% precision and 2% agreement with accurate, benchmarked Monte Carlo (MC) code. PBRA electron transport was enhanced by modeling local pencil beam divergence. This required fundamental changes to the mathematics of electron transport (divPBRA). Evaluation of divPBRA with the measured data set showed marginal improvement in dose accuracy when compared to PBRA; however, 4% or 2mm accuracy was not achieved by either PBRA version for all data points. Finally, PBRA was evaluated clinically by comparing PBRA- and MC-calculated dose distributions using site-specific patient RTP data. Results show PBRA did not agree with MC to within 4% or 2mm in a small fraction (<3%) of the irradiated volume. Although the hypothesis of the research was shown to be false, the minor dose inaccuracies should have little or no impact on RTP decisions or patient outcome. Therefore, given ease of beam commissioning, documentation of accuracy, and calculational speed, the PBRA should be considered a practical tool for clinical use. ^