Browsing by Author "Ivanov, Ivan"
Now showing items 21-40 of 40
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Khunlertgit, Navadon (2016-11-22)Identification of robust biomarkers for cancer prognosis based on gene expression data is an important research problem in translational genomics. The high-dimensional and small-sample-size data setting makes the prediction ...
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Influence of whole-wheat consumption on fecal microbial community structure of obese diabetic mice Garcia-Mazcorro, Jose F.; Ivanov, Ivan; Mills, David A.; Noratto, Giuliana; Howe, Adina (PeerJ, 2016)
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Qian, Xiaoning; Ivanov, Ivan; Ghaffari, Noushin; Dougherty, Edward R (BMC Systems Biology, 2009)
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Elswood, Jessica Lee (2020-04-30)Normal physiological or developmental processes, including invasion, proliferation, metabolic reprogramming, and apoptotic escape, are often hijacked in malignant states to drive disease occurrence or progression. As ...
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Yuan, Dongbang (2022-07-25)We consider the problem of extracting joint and individual signals from multi-view data, that is, data collected from different sources on matched samples. We present two main contributions in this dissertation. The first ...
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Tan, Yukun (2021-05-03)Nonlinear state-space models have long been used in the statistical signal processing community as a powerful tool for modeling and forecasting the behavior of dynamical systems. However, in the case of a large system with ...
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Knight, Jason M; Ivanov, Ivan; Dougherty, Edward R (BMC Bioinformatics, 2014)
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Sun, Youting (2012-07-16)This dissertation is concerned with the application of mathematical modeling and statistical signal processing into the rapidly expanding fields of proteomics and genomics. The research is guided by a translational goal ...
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Ghaffari, Noushin; Yousefi, Mohammadmahdi R; Johnson, Charles D; Ivanov, Ivan; Dougherty, Edward R (BMC Bioinformatics, 2013)
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Ghane, Parisa (2022-07-27)In data-poor environments, it may not be possible to set aside a large enough test data set to produce accurate test-set error estimates. On the other hand, in modern classification applications where training is time and ...
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Dehghannasiri, Roozbeh (2016-08-03)In many real-world engineering applications, model uncertainty is inherent. Largescale dynamical systems cannot be perfectly modeled due to systems complexity, lack of enough training data, perturbation, or noise. Hence, ...
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Rezaei Yousefi, Mohammadmahdi (2013-04-01)A basic issue for translational genomics is to model gene interactions via gene regulatory networks (GRNs) and thereby provide an informatics environment to derive and study effective interventions eradicating the tumor. ...
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Knight, Jason Matthew (2015-05-04)Predictive modeling of the dynamic, multivariate, non-linear, stochastic systems of biology is a difficult enterprise. High throughput measurement techniques are enabling new approaches to computational biology, but the ...
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Kim, Hye Mee (2013-12-11)Ulcerative colitis is a chronic inflammation of the large intestine, and it may increase risk of human colorectal cancer. Polyphenolics from mango and pomegranate have been shown to have potent anti-inflammatory properties, ...
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Morris, David Christopher (2015-07-15)The high incidence of invasive breast carcinomas, which accounts for about 90% of all breast cancer-related deaths, underscores the need for new and more effective therapeutic approaches to block the development of the ...
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Chu, Pei-Hua (2018-07-10)Chronic kidney disease (CKD) is a significant cause of death in dogs. However, the gene and microRNA (miRNA) expression profile that affects progression in CKD has only been partially characterized. Dogs with X-linked ...
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Zhao, Chen (2012-07-16)To effectively understand and treat complex diseases such as cancer, mathematical and statistical modeling is essential if one wants to represent and characterize the interactions among the different regulatory components ...
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Fang, Xin (2022-07-25)Reproductive development and tumorigenesis are the two main topics in reproductive research. Enhancer of zeste (EZH2), a core component of Polycomb Repressive Complexes 2, possesses histone methyltransferase activity that ...
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Shahrokh Esfahani, Mohammad (2014-04-18)Small samples are commonplace in genomic/proteomic classification, the result being inadequate classifier design and poor error estimation. A promising approach to alleviate the problem is the use of prior knowledge. On ...
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Alexander, Ellen Ruth C (2021-07-05)Streptococcus equi subsp. equi (SEE) is the bacterium that causes the equine respiratory disease known as strangles. Strangles is endemic worldwide among horses. Despite its apparent prevalence and costs to equine ...