Search Results - "Nagorski, John"

Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization by Weylandt, Michael, Nagorski, John, Allen, Genevera I.

“…Convex clustering is a promising new approach to the classical problem of clustering, combining strong performance in empirical studies with rigorous…”
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Quantifying cognitive resilience in Alzheimer's Disease: The Alzheimer's Disease Cognitive Resilience Score by Yao, Tianyi, Sweeney, Elizabeth, Nagorski, John, Shulman, Joshua M, Allen, Genevera I

“…Even though there is a clear link between Alzheimer's Disease (AD) related neuropathology and cognitive decline, numerous studies have observed that healthy…”
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Genomic region detection via Spatial Convex Clustering by Nagorski, John, Allen, Genevera I

“…Several modern genomic technologies, such as DNA-Methylation arrays, measure spatially registered probes that number in the hundreds of thousands across…”
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An analysis of monthly household energy consumption among single-family residences in Texas, 2010 by Valenzuela, Carlos, Valencia, Alelhie, White, Steve, Jordan, Jeffrey A., Cano, Stephanie, Keating, Jerome, Nagorski, John, Potter, Lloyd B.

“…Demographic, socioeconomic, and housing characteristics influence variation in household energy consumption. By combining household-level utility, public, and…”
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Computation, Visualization, and Applications of Convex Clustering by Nagorski, John

“…Clustering is a ubiquitous tool for exploratory data analysis across the sciences, with the general aim of identifying groups of similar objects. Recent work…”
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Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease by Allen, Genevera I, Amoroso, Nicola, Anghel, Catalina, Balagurusamy, Venkat, Bare, Christopher J, Beaton, Derek, Bellotti, Roberto, Bennett, David A, Boehme, Kevin L, Boutros, Paul C, Caberlotto, Laura, Caloian, Cristian, Campbell, Frederick, Chaibub Neto, Elias, Chang, Yu-Chuan, Chen, Beibei, Chen, Chien-Yu, Chien, Ting-Ying, Clark, Tim, Das, Sudeshna, Davatzikos, Christos, Deng, Jieyao, Dillenberger, Donna, Dobson, Richard JB, Dong, Qilin, Doshi, Jimit, Duma, Denise, Errico, Rosangela, Erus, Guray, Everett, Evan, Fardo, David W, Friend, Stephen H, Fröhlich, Holger, Gan, Jessica, St George-Hyslop, Peter, Ghosh, Satrajit S, Glaab, Enrico, Green, Robert C, Guan, Yuanfang, Hong, Ming-Yi, Huang, Chao, Hwang, Jinseub, Ibrahim, Joseph, Inglese, Paolo, Iyappan, Anandhi, Jiang, Qijia, Katsumata, Yuriko, Klein, Arno, Kong, Dehan, Krause, Roland, Lalonde, Emilie, Lauria, Mario, Lee, Eunjee, Lin, Xihui, Liu, Zhandong, Livingstone, Julie, Logsdon, Benjamin A, Lovestone, Simon, Ma, Tsung-wei, Malhotra, Ashutosh, Mangravite, Lara M, Maxwell, Taylor J, Merrill, Emily, Nagorski, John, Namasivayam, Aishwarya, Narayan, Manjari, Naz, Mufassra, Newhouse, Stephen J, Norman, Thea C, Nurtdinov, Ramil N, Oyang, Yen-Jen, Pawitan, Yudi, Peng, Shengwen, Peters, Mette A, Piccolo, Stephen R, Praveen, Paurush, Priami, Corrado, Sabelnykova, Veronica Y, Senger, Philipp, Shen, Xia, Simmons, Andrew, Sotiras, Aristeidis, Stolovitzky, Gustavo, Tangaro, Sabina, Tateo, Andrea, Tung, Yi-An, Tustison, Nicholas J, Varol, Erdem, Vradenburg, George, Weiner, Michael W, Xiao, Guanghua, Xie, Lei, Xie, Yang, Xu, Jia, Yang, Hojin, Zhan, Xiaowei, Zhou, Yunyun, Zhu, Fan, Zhu, Hongtu, Zhu, Shanfeng

“…Abstract Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The…”
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Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization by Weylandt, Michael, Nagorski, John, Allen, Genevera I

“…Journal of Computational and Graphical Statistics 29(1), pp. 87-96. 2020 Convex clustering is a promising new approach to the classical problem of clustering,…”
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Genomic Region Detection via Spatial Convex Clustering by Nagorski, John, Allen, Genevera I

“…Several modern genomic technologies, such as DNA-Methylation arrays, measure spatially registered probes that number in the hundreds of thousands across…”
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Identifying cancer biomarkers through a network regularized Cox model by Ying-Wooi Wan, Nagorski, John, Allen, Genevera I., Zhaohui Li, Zhandong Liu

“…A central problem in cancer genomics is to identify interpretable biomarkers for better disease prognosis. Many of the biomarkers identified through Cox…”
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