Browsing by Author "Dougherty, Edward R."
Now showing items 1-20 of 34
-
Su, Junjie; Yoon, Byung-Jun; Dougherty, Edward R.; Stolovitzky, Gustavo (PloS One, 2009)
-
Dalton, Lori Anne (2012-07-16)With the advent of high-throughput genomic and proteomic technologies, in conjunction with the difficulty in obtaining even moderately sized samples, small-sample classifier design has become a major issue in the biological ...
-
Zollanvari, Amin (2012-02-14)Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and proteomics. This dissertation is concerned ...
-
Lee, Kyeong Eun (Texas A&M University, 2005-08-29)Selection of signi?cant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of variables (genes), the selection process can be unstable. This research proposes a ...
-
Atashpazgargari, Esmaeil (2014-08-27)Discovery and validation of protein biomarkers with high specificity is the main challenge of current proteomics studies. Different mass spectrometry models are used as shotgun tools for discovery of biomarkers which is ...
-
Xiao, Yufei (2009-05-15)This dissertation attempts to answer some of the vital questions involved in the genetic regulatory networks: inference, optimization and robustness of the mathe- matical models. Network inference constitutes one of the ...
-
Liu, Li-yu Daisy (Texas A&M University, 2005-08-29)To detect dependence among variables is an essential task in many scientific investigations. In this study we propose a new measure of association, the coefficient of intrinsic dependence (CID), which takes value in [0,1] ...
-
Kim, Mansuck (2016-02-15)Fusarium verticillioides is one of the key pathogens for stalk rot and ear rot on maize. While several genes associated with F. verticillioides pathogenicity and mycotoxin biosynthesis have been characterized, our knowledge ...
-
Gunnam, Kiran Kumar (Texas A&M University, 2004-09-30)Spacecraft missions such as spacecraft docking and formation flying require high precision relative position and attitude data. Although Global Positioining Systems can provide this capability near the earth, deep space ...
-
Maity, Arnab (2009-05-15)Semiparametric regression has become very popular in the field of Statistics over the years. While on one hand more and more sophisticated models are being developed, on the other hand the resulting theory and estimation ...
-
Vahedi, Golnaz (2010-10-12)Cells behave as complex systems with regulatory processes that make use of many elements such as switches based on thresholds, memory, feedback, error-checking, and other components commonly encountered in electrical ...
-
Chen, Ting (2013-09-18)The Coefficient of Determination (CoD) plays an important role in Genomics problems, for instance, in the inference of gene regulatory networks from gene- expression data. However, the inference theory about CoD has not ...
-
Imani, Mahdi (2019-02-25)Demand for learning, design and decision making is higher than ever before. Autonomous vehicles need to learn how to ride safely by recognizing pedestrians, traffic signs, and other cars. Companies and consumers need to ...
-
Zhou, Xiaobo; Wang, Xiaodong; Dougherty, Edward R. (EURASIP Journal on Advances in Signal Processing, 2004)
-
Zhao, Wentao (2009-05-15)Biological phenomena in the cells can be explained in terms of the interactions among biological macro-molecules, e.g., DNAs, RNAs and proteins. These interactions can be modeled by genetic regulatory networks (GRNs). This ...
-
Ghaffari, Noushin (2012-07-16)All high-level living organisms are made of small cell units, containing DNA, RNA, genes, proteins etc. Genes are important components of the cells and it is necessary to understand the inter-gene relations, in order to ...
-
Boluki, Shahin (2021-05-19)In engineering and life science applications, designing reliable and reproducible predictors is of utmost importance and interest. On one hand, the amount of available data for the application and problem of interest may ...
-
Xu, Qian (2009-05-15)Following recent theoretical works on successive Wyner-Ziv coding, we propose a practical layered Wyner-Ziv video coder using the DCT, nested scalar quantiza- tion, and irregular LDPC code based Slepian-Wolf coding (or ...
-
Maddouri, Omar (2022-08-17)With the rapid expansion of big data in all science and engineering domains, the potential that lays behind these massive data is undoubtedly significant. Leveraging such information in an optimal way requires innovative ...
-
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 ...