Odendaal, Kirsten (author) Alkemade, Aaron (author) Kana, A.A. (author)
The adverse human contribution to global climate change has forced the yachting industry to acknowledge the need to reduce its environmental impact due to the client's increasing pressure and potential future regulations to limit the ecological effects. Unfortunately, current real-world data presents a significant disparity between predicted and ac...
Chowdhury, Shrabanti Wang, Ru Yu, Qing Huntoon, Catherine J Karnitz, Larry M Kaufmann, Scott H Gygi, Steven P Birrer, Michael J Paulovich, Amanda G Peng, Jie
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Published in
BMC bioinformatics
Applying directed acyclic graph (DAG) models to proteogenomic data has been shown effective for detecting causal biomarkers of complex diseases. However, there remain unsolved challenges in DAG learning to jointly model binary clinical outcome variables and continuous biomarker measurements. In this paper, we propose a new tool, DAGBagM, to learn D...
Liu, Ziyu Johnson, Travis S. Shao, Wei Zhang, Min Zhang, Jie Huang, Kun
Published in
Alzheimer's Research & Therapy
BackgroundTo help clinicians provide timely treatment and delay disease progression, it is crucial to identify dementia patients during the mild cognitive impairment (MCI) stage and stratify these MCI patients into early and late MCI stages before they progress to Alzheimer’s disease (AD). In the process of diagnosing MCI and AD in living patients,...
Chowdhury, Shrabanti Wang, Ru Yu, Qing Huntoon, Catherine J Karnitz, Larry M Kaufmann, Scott H Gygi, Steven P Birrer, Michael J Paulovich, Amanda G Peng, Jie
...
BackgroundApplying directed acyclic graph (DAG) models to proteogenomic data has been shown effective for detecting causal biomarkers of complex diseases. However, there remain unsolved challenges in DAG learning to jointly model binary clinical outcome variables and continuous biomarker measurements.ResultsIn this paper, we propose a new tool, DAG...
Yoon, Hong-Jun Klasky, Hilda B Gounley, John P Alawad, Mohammed Gao, Shang Durbin, Eric B Wu, Xiao-Cheng Stroup, Antoinette Doherty, Jennifer Coyle, Linda
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Published in
Journal of biomedical informatics
In machine learning, it is evident that the classification of the task performance increases if bootstrap aggregation (bagging) is applied. However, the bagging of deep neural networks takes tremendous amounts of computational resources and training time. The research question that we aimed to answer in this research is whether we could achieve hig...
Brennan, Tim Breitenbach, Markus Dieterich, William
Published in
Journal of Quantitative Criminology
Taxonomic structure is examined in two large samples of delinquent youth in a domain of socio-psychological and personality factors. This paper offers a partial empirical test of the overlapping theoretical taxonomies of Moffitt (Pshycol Rev 100:674–701, 1993), Lykken (The antisocial personalities, 1995) and Mealey (1995). The first sample consiste...