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Wang Q, He F, Huang RY, Yang X, Yang D, Ngatia JN, Gong Y, Xu Y, Huang S, Liu H. Draft genome of the oriental garden lizard ( Calotes versicolor). Front Genet 2023; 14:1091544. [PMID: 36891152 PMCID: PMC9986473 DOI: 10.3389/fgene.2023.1091544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/10/2023] [Indexed: 02/22/2023] Open
Affiliation(s)
- Qing Wang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Fengping He
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Ru-Yi Huang
- Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, China
| | - Xueke Yang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China
| | - Diancheng Yang
- Anhui Province Key Laboratory of the Conservation and Exploitation of Biological Resource, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Jacob Njaramba Ngatia
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.,Taita Hills Wildlife Sanctuary, Taita-Taveta, Kenya
| | - Yanan Gong
- Anhui Province Key Laboratory of the Conservation and Exploitation of Biological Resource, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Yanchun Xu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Song Huang
- Anhui Province Key Laboratory of the Conservation and Exploitation of Biological Resource, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Hui Liu
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China
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Zhao H, Cui X. Constructing confidence intervals for selected parameters. Biometrics 2020; 76:1098-1108. [PMID: 31975369 DOI: 10.1111/biom.13222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 12/28/2019] [Accepted: 01/08/2020] [Indexed: 11/27/2022]
Abstract
In large-scale problems, it is common practice to select important parameters by a procedure such as the Benjamini and Hochberg procedure and construct confidence intervals (CIs) for further investigation while the false coverage-statement rate (FCR) for the CIs is controlled at a desired level. Although the well-known BY CIs control the FCR, they are uniformly inflated. In this paper, we propose two methods to construct shorter selective CIs. The first method produces shorter CIs by allowing a reduced number of selective CIs. The second method produces shorter CIs by allowing a prefixed proportion of CIs containing the values of uninteresting parameters. We theoretically prove that the proposed CIs are uniformly shorter than BY CIs and control the FCR asymptotically for independent data. Numerical results confirm our theoretical results and show that the proposed CIs still work for correlated data. We illustrate the advantage of the proposed procedures by analyzing the microarray data from a HIV study.
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Affiliation(s)
- Haibing Zhao
- School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China
| | - Xinping Cui
- Department of Statistics, Center for Plant Cell Biology and Institute for Integrative Genome Biology, University of California, Riverside, CA
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