Jun S. Liu
Jun S. Liu (; born 1965) is a Chinese-American statistician focusing on Bayesian statistical inference, statistical machine learning, and computational biology. He was assistant professor of statistics at Harvard University from 1991 to 1994. From 1994 to 2004, he was Assistant, Associate, and full Professor of Statistics (promoted while being on leave) at Stanford University. Since 2000, Liu has been Professor of Statistics in the Department of Statistics at Harvard University and held a courtesy appointment at Harvard T.H. Chan School of Public Health.Liu has written [https://scholar.google.com/citations?user=-bHzVq8AAAAJ&hl=en many research papers] and a book about Markov chain Monte Carlo algorithms, including their applications in biology. He is also co-author of several early software on biological sequence motif discovery.: MACAW, Gibbs Motif Sampler, BioProspector, Motif regressor, MDScan, Tmod; on genetic data analysis: BLADE, HAPLOTYPER, PL-EM, BEAM; and more recently on, genome structure, gene expression and cell type analysis: HiCNorm, BACH, CLIME, RABIT, CLIC, TIMER, and PhyloAcc. Provided by Wikipedia
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New Insights on Properties and Spatial Distributions of Skeletal Stem Cells by Jun-qi Liu, Qi-wen Li, Zhen Tan
Published 2019-01-01
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Flood Diversion Algorithm for Anticollision in RFID System by Hua Huo, Jun Qiang Liu, Yong Jie Wang
Published 2015-04-01
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Study on the Customization of Robotic Arms for Spray-Coating Production Lines by Chao-Chung Liu, Jun-Chi Liu, Chao-Shu Liu
Published 2024-12-01
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CH3OH Thermal Lines Traces 6.7 GHz CH3OH Maser Variation of High-mass Protostar G353.273+0.641 by Shi-Min Song, Xi Chen, Sheng-Yuan Liu, Jun-Ting Liu
Published 2025-01-01
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A case of retroperitoneal hyaline vascular Castleman disease initially presenting with anemia by Wen-Xu Wang, Li-Li Peng, Hong-Hu Du, Jun-Jiang Liu
Published 2025-02-01
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Differential detection scheme for distributed MIMO systems in fast fading channel by Dong-dong DOU, Jun-bo LIU, Da-ming WANG, Zhao-xun LI
Published 2012-06-01
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Empirical Likelihood Estimation for Population Pharmacokinetic Study Based on Generalized Linear Model by Fang-rong Yan, Jin-guan Lin, Yuan Huang, Jun-lin Liu, Tao Lu
Published 2012-01-01
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Dielectric relaxation in BaTiO3–Bi(ZnZr)O3 by Qian Wang, Jian-Hong Hu, Jun-Yi Liu, Chun-Ming Wang, Chun-Lei Wang
Published 2025-02-01
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High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu
Published 2024-12-01
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Genome-wide analysis of Smad and Schnurri transcription factors in C. elegans demonstrates widespread interaction and a function in collagen secretion by Mehul Vora, Jonathan Dietz, Zachary Wing, Karen George, Jun Kelly Liu, Christopher Rongo, Cathy Savage-Dunn
Published 2025-01-01
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Advanced matter-element extension model and machine learning for source-specific probabilistic health risk assessment of heavy metals/metaloids in soil-rose systems in Kushui, Nort... by Jun Li, Li-Bang Ma, Jun-Zhuo Liu, Xu Li, Yun-Qin Yang, Xi-Sheng Tai, Fa-Yuan Zhou, Fei Zang
Published 2025-01-01
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Enhancing Light-Trapping Properties of Amorphous Si Thin-Film Solar Cells Containing High-Reflective Silver Conductors Fabricated Using a Nonvacuum Process by Jun-Chin Liu, Chen-Cheng Lin, Yu-Hung Chen, Chien-Liang Wu, Chia-Ming Fan, Yu-Ming Wang, Chung-Yuan Kung
Published 2014-01-01
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Girolline is a sequence context-selective modulator of eIF5A activity by Tilman Schneider-Poetsch, Yongjun Dang, Wakana Iwasaki, Mayumi Arata, Yuichi Shichino, Ali Al Mourabit, Celine Moriou, Daniel Romo, Jun O. Liu, Takuhiro Ito, Shintaro Iwasaki, Minoru Yoshida
Published 2025-01-01
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In situ training of an in-sensor artificial neural network based on ferroelectric photosensors by Haipeng Lin, Jiali Ou, Zhen Fan, Xiaobing Yan, Wenjie Hu, Boyuan Cui, Jikang Xu, Wenjie Li, Zhiwei Chen, Biao Yang, Kun Liu, Linyuan Mo, Meixia Li, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu
Published 2025-01-01
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