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Bordetella pertussis bacterium is the main cause of whooping cough which is a highly contagious disease affecting the lungs. Outbreaks of whooping cough have increased over the past few years and have led to infant deaths over multiple states in the US and has drawn the attention of health care providers. The goal of our research is to develop a mathematical epidemiology model that can help in understanding...
It is critical to be able to identify longitudinally changing genes in temporal data so that studies can be focused on how gene expression changes in a dynamic way. While biological networks continue to play a significant role in modeling and characterizing complex relationships in biological systems, most network modeling studies in biomedical research focus on snapshot or “static” network-based...
Genes that share transcription factors are biologically driven to show a more likely measurable correlation in their gene expression. No modern method of visualization displays these intricate co-expression and correlation patterns better than a graph. Structural observations about a co-expression graph can reveal the secrets of the biological system that it models, but experimentally validated co-expression...
Big data analysis has been pervasively adopted as a method to analyze the tremendous amount of daily generated high throughput data in an efficient and accurate manner. Among the series of tools available in the field of big biomedical data, correlation networks are one of the most powerful tools for modelling gene expression, which is important in the study of disease and ageing. With the help of...
Recently, there has been a push for better exposure, recruitment, and training of United States adolescents to STEM (science, technology, engineering, and math) related fields. Educators are working to empower youths with early exposure to STEM topics to engage in the hard sciences in their futures. Among these topics is bioinformatics, an interdisciplinary focus with roots in computer science, molecular...
Traditional correlation network analysis typically involves creating a network using gene expression data and then identifying biologically relevant clusters from that network by enrichment with Gene Ontology or pathway information. When one wants to examine these networks in a dynamic way - such as between controls versus treatment or over time - a “snapshot” approach is taken by comparing network...
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