Dan Nettleton
Daniel S. Nettleton is an American statistical genomicist.Nettleton was raised in Algona, Iowa. Both of his parents were high school teachers. Nettleton attended Wartburg College, where he played basketball, and earned his master's degree (1993) and doctorate (1996) in statistics at the University of Iowa. Nettleton began his teaching career at the University of Nebraska–Lincoln, then was recruited to join Iowa State University's faculty in 2000 by Dean Isaacson, who had earlier tried to convince Nettleton to pursue graduate studies at Iowa State. At ISU, Nettleton holds the Laurence H. Baker Endowed Chair in Biological Statistics, and was appointed to a distinguished professorship in 2015. The following year, Nettleton was appointed director of the Laurence H. Baker Center for Bioinformatics and Biological Statistics. In 2019, Nettleton succeeded Max Morris as chair of the Department of Statistics, and accepted a second term in the role in 2024.
Nettleton was elected a fellow of the American Statistical Association in 2008, and began serving as chair-elect of the ASA's Caucus of Academic Representatives in 2022. Provided by Wikipedia
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9by Hung-ying Lin, Qiang Liu, Xiao Li, Jinliang Yang, Sanzhen Liu, Yinlian Huang, Michael J. Scanlon, Dan Nettleton, Patrick S. SchnableGet full text
Published 2017-10-01
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10by Jinliang Yang, Cheng-Ting “Eddy” Yeh, Raghuprakash Kastoori Ramamurthy, Xinshuai Qi, Rohan L. Fernando, Jack C. M. Dekkers, Dorian J. Garrick, Dan Nettleton, Patrick S. SchnableGet full text
Published 2018-11-01
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11by Xiaolan Zhang, Shahinez Madi, Lisa Borsuk, Dan Nettleton, Robert J Elshire, Brent Buckner, Diane Janick-Buckner, Jon Beck, Marja Timmermans, Patrick S Schnable, Michael J ScanlonGet full text
Published 2007-06-01
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12by Yan Fu, Nathan M Springer, Kai Ying, Cheng-Ting Yeh, A Leonardo Iniguez, Todd Richmond, Wei Wu, Brad Barbazuk, Dan Nettleton, Jeff Jeddeloh, Patrick S SchnableGet full text
Published 2010-01-01
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13Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.by Naihui Zhou, Zachary D Siegel, Scott Zarecor, Nigel Lee, Darwin A Campbell, Carson M Andorf, Dan Nettleton, Carolyn J Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W Kelly, Iddo FriedbergGet full text
Published 2018-07-01
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14by Ting-Hua Huang, Jolita J Uthe, Shawn M D Bearson, Cumhur Yusuf Demirkale, Dan Nettleton, Susan Knetter, Curtis Christian, Amanda E Ramer-Tait, Michael J Wannemuehler, Christopher K TuggleGet full text
Published 2011-01-01
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15by Raul A Cernadas, Erin L Doyle, David O Niño-Liu, Katherine E Wilkins, Timothy Bancroft, Li Wang, Clarice L Schmidt, Rico Caldo, Bing Yang, Frank F White, Dan Nettleton, Roger P Wise, Adam J BogdanoveGet full text
Published 2014-02-01
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16by Dallas C. Jones, Wenguang Zheng, Sheng Huang, Chuanlong Du, Xuefeng Zhao, Ragothaman M. Yennamalli, Ragothaman M. Yennamalli, Ragothaman M. Yennamalli, Taner Z. Sen, Taner Z. Sen, Dan Nettleton, Eve Syrkin Wurtele, Eve Syrkin Wurtele, Ling Li, Ling LiGet full text
Published 2016-07-01
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17by Yin Bao, Scott Zarecor, Dylan Shah, Taylor Tuel, Darwin A. Campbell, Antony V. E. Chapman, David Imberti, Daniel Kiekhaefer, Henry Imberti, Thomas Lübberstedt, Yanhai Yin, Dan Nettleton, Carolyn J. Lawrence-Dill, Steven A. Whitham, Lie Tang, Stephen H. HowellGet full text
Published 2019-10-01
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18by Lionel Brooks, Josh Strable, Xiaolan Zhang, Kazuhiro Ohtsu, Ruilian Zhou, Ananda Sarkar, Sarah Hargreaves, Robert J Elshire, Douglas Eudy, Teresa Pawlowska, Doreen Ware, Diane Janick-Buckner, Brent Buckner, Marja C P Timmermans, Patrick S Schnable, Dan Nettleton, Michael J ScanlonGet full text
Published 2009-05-01
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