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Moore, Jason
University of Pennsylvania
Philadelphia, Pennsylvania
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| Jason Moore is the Frank Lane Research Scholar in Computational Genetics and Director of Bioinformatics at Dartmouth Medical School, where he holds positions as Associate Professor of Genetics and Adjunct Associate Professor of Community and Family Medicine. He also holds positions as Affiliate Associate Professor of Computer Science at the University of New Hampshire and Adjunct Associate Professor of Computer Science at the University of Vermont. He was previously an Ingram Associate Professor of Cancer Research at Vanderbilt University Medical School, where he held positions as Assistant and Associate Professor of Molecular Physiology and Biophysics. He has won numerous awards including the James V. Neel Young Investigator award from the International Genetic Epidemiology Society and a Best Paper award from the ACM Genetic and Evolutionary Computing Conference (GECCO). He is currently Editor in Chief of a new journal, BioData Mining, that is published by BioMed Central. Moore is a graduate of the University of Michigan in Ann Arbor, where he earned an MS in Human Genetics, an MA in Applied Statistics, and a PhD in Human Genetics. His dissertation work focused on computational and statistical methods for the genetic analysis of blood pressure change over a 24-hour period. He is also a graduate of Florida State University in Tallahassee, where he earned a BS in Biological Sciences. His research focuses on the development, evaluation, and application of data mining and machine learning methods for the identification of genetic, genomic, and proteomic predictors of common human diseases, such as cancer and cardiovascular disease. Moore and his team have developed a number of novel machine learning methods, including multifactor dimensionality reduction (MDR) that uses constructive induction to detect nonlinear interactions among two or more attributes. He has published more than 150 peer-reviewed papers in journals and conference proceedings, and has delivered more than 100 invited lectures, including keynote lectures at the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology and the 2006 Annual Conference on the Mathematics of Information Technology and Complex Systems. More information about Moore and his work can be found at www.epistasis.org. |
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1 - 10 of 16
reviews
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A vision for heart rate health through wearables Albaghli R., Anderson K. UbiComp 2016 (Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, Sep 12-16, 2016) 1101-1105, 2016. Type: Proceedings
Mobile health (mHealth) is an increasingly important area of biomedical informatics that is focused on the use of wearable sensors, such as those found in smartphones, to monitor health. This is an exciting area because of the widespre...
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Oct 19 2016 |
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Tractome: a visual data mining tool for brain connectivity analysis Porro-Muñoz D., Olivetti E., Sharmin N., Nguyen T., Garyfallidis E., Avesani P. Data Mining and Knowledge Discovery 29(5): 1258-1279, 2015. Type: Article
Brain imaging has revolutionized neuroscience and related areas such as neurogenetics by providing detailed measures of brain structure and function that can be used to advance our understanding of neuroanatomy and neurophysiology. Thi...
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Oct 21 2015 |
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Exploring the interdisciplinary evolution of a discipline: the case of biochemistry and molecular biology Chen S., Arsenault C., Gingras Y., Larivière V. Scientometrics 102(2): 1307-1323, 2015. Type: Article
It is natural to subdivide science into disciplines that can focus on particular aspects of scientific inquiry. This becomes a problem when two or more disciplines are required to solve a complex research problem. For example, the succ...
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May 7 2015 |
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EpiMiner: a three-stage co-information based method for detecting and visualizing epistatic interactions Shang J., Zhang J., Sun Y., Zhang Y. Digital Signal Processing 241-13, 2014. Type: Article
Common human diseases are the result of complex interactions between many genetic and environmental factors. Parametric statistical methods such as logistic regression are underpowered to detect interactions due to unstable parameter e...
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Jul 7 2014 |
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Living cell as a universal computer Sergienko I., Biletskyy B., Gupal A. Cybernetics and Systems Analysis 49(4): 562-568, 2013. Type: Article
Computer science has long looked to biology for inspiration in the design of computer systems and software, and the reverse is also true. This paper explores the connection between the biomolecular processes that occur in a cell and th...
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Feb 6 2014 |
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Can matching improve the performance of boosting for identifying important genes in observational studies? Reiser V., Porzelius C., Stampf S., Schumacher M., Binder H. Computational Statistics 28(1): 37-49, 2013. Type: Article
The identification of genes that influence disease initiation, progression, or severity is an important public health objective. A typical study design involves the collection of biological samples from human subjects with two differen...
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Jan 27 2014 |
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Bulk synchronous visualization Bongo L. PMAM 2013 (Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores, Shenzhen, China, Feb 23, 2013) 21-30, 2013. Type: Proceedings
Visualization is becoming an increasingly critical component of research studies that generate and analyze big data in biology, economics, physics, and many other disciplines. Visualization methods are sometimes categorized as R...
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Apr 3 2013 |
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Prediction of breast cancer using artificial neural networks Saritas I. Journal of Medical Systems 36(5): 2901-2907, 2012. Type: Article
The problem of cancer detection and diagnosis is ideally suited for machine learning methods. The goal is to develop a diagnostic model of biological measures extracted from imaging methods, such as mammography, or pathology assays, su...
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Jan 23 2013 |
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Detecting epistatic effects in association studies at a genomic level based on an ensemble approach Li J., Horstman B., Chen Y. Bioinformatics 27(13): i222-i229, 2011. Type: Article
Human genetics is in the midst of an information explosion. For more than five years now, we have been able to measure one million or more DNA sequence variations across the human genome in population studies. The goal has been to dete...
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May 11 2012 |
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Detecting synchronisation of biological oscillators by model checking Bartocci E., Corradini F., Merelli E., Tesei L. Theoretical Computer Science 411(20): 1999-2018, 2010. Type: Article
Biological systems often oscillate to maintain their intended function. The beating of the heart is a good example. It is often the case that different oscillators interact and sometimes synchronize. The process by which synchronizatio...
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May 2 2011 |
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