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Full-Text Articles in Physical Sciences and Mathematics
Genetic Studies Of Complex Human Diseases: Characterizing Snp-Disease Associations Using Bayesian Networks, Bing Han, Xue-Wen Chen, Zohreh Talebizadeh, Hua Xu
Genetic Studies Of Complex Human Diseases: Characterizing Snp-Disease Associations Using Bayesian Networks, Bing Han, Xue-Wen Chen, Zohreh Talebizadeh, Hua Xu
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis, and treatment of complex human diseases. Applying machine learning or statistical methods to epistatic interaction detection will encounter some common problems, e.g., very limited number of samples, an extremely high search space, a large number of false positives, and ways to measure the association between disease markers and the phenotype.
Results
To address the problems of computational methods in epistatic interaction detection, we propose a score-based Bayesian network structure learning method, EpiBN, to detect epistatic interactions. We apply the proposed method to both simulated datasets and …
Down-Weighting Overlapping Genes Improves Gene Set Analysis, Adi Tarca, Sorin Draghici, Gaurav Bhatti, Roberto Romero
Down-Weighting Overlapping Genes Improves Gene Set Analysis, Adi Tarca, Sorin Draghici, Gaurav Bhatti, Roberto Romero
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equally, regardless how specific they are to a given gene set.
Results
In this work we propose a new gene set analysis method that computes a gene set score as the mean of absolute values of weighted moderated gene t-scores. The gene weights are designed to emphasize the genes appearing in few gene sets, versus genes that appear in many gene sets. We demonstrate the …
Ubiquitous Learning Laboratory For Pediatric Nursing: A Cultural Algorithm Approach, David Lee Colon
Ubiquitous Learning Laboratory For Pediatric Nursing: A Cultural Algorithm Approach, David Lee Colon
Wayne State University Theses
ABSTRACT
UBIQUITOUS LEARNING LABORATORY FOR PEDIATRIC NURSING: A CULTURAL ALGORITHM APPROACH
by
DAVID L. COLON
December 2012
Advisor: Dr. Robert G. Reynolds
Major: Computer Science
Degree: Master of Science
Quality Medical Care is at the focus of all health care service providers. Each facility maintains a standard level of care that promises not only a precise diagnosis, but also the correct course of treatment. In part, this is due to the educational training and professional experience of Nurses. For high-risk patients such as children, the level of expertise of a Pediatric Nurse is even more critical in order to guarantee …