Institution
University of California, Davis
Education•Davis, California, United States•
About: University of California, Davis is a education organization based out in Davis, California, United States. It is known for research contribution in the topics: Population & Gene. The organization has 78770 authors who have published 180033 publications receiving 8064158 citations. The organization is also known as: UC Davis & UCD.
Topics: Population, Gene, Poison control, Context (language use), Medicine
Papers published on a yearly basis
Papers
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TL;DR: Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries.
Abstract: We describe Pyomo, an open source software package for modeling and solving mathematical programs in Python. Pyomo can be used to define abstract and concrete problems, create problem instances, and solve these instances with standard open-source and commercial solvers. Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS. In contrast, Pyomo's modeling objects are embedded within a full-featured high- level programming language with a rich set of supporting libraries. Pyomo leverages the capabilities of the Coopr software library, which together with Pyomo is part of IBM's COIN-OR open-source initiative for operations research software. Coopr inte- grates Python packages for defining optimizers, modeling optimization applications, and managing computational experiments. Numerous examples illustrating advanced scripting applications are provided.
707 citations
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TL;DR: It is shown that space performs well in both nonzero partial correlation selection and the identification of hub variables, and also outperforms two existing methods.
Abstract: This article features online supplementary material.In this article, we propose a computationally efficient approach—space (Sparse PArtial Correlation Estimation)—for selecting nonzero partial correlations under the high-dimension-low-sample-size setting. This method assumes the overall sparsity of the partial correlation matrix and employs sparse regression techniques for model fitting. We illustrate the performance of space by extensive simulation studies. It is shown that space performs well in both nonzero partial correlation selection and the identification of hub variables, and also outperforms two existing methods. We then apply space to a microarray breast cancer dataset and identify a set of hub genes that may provide important insights on genetic regulatory networks. Finally, we prove that, under a set of suitable assumptions, the proposed procedure is asymptotically consistent in terms of model selection and parameter estimation.
707 citations
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TL;DR: This work focuses on genetic concerns arising from ongoing restoration efforts, where often little is known about “How local is local?” (i.e., the geographic or environmental scale over which plant species are adapted).
Abstract: In plant conservation, restoration (the augmentation or reestablishment of an extinct population or community) is a valuable tool to mitigate the loss of habitat. However, restoration efforts can result in the introduction of novel genes and genotypes into populations when plant materials used are not of local origin. This movement is potentially important because many plant species are subdivided into populations that are adapted to local environmental conditions. Here we focus on genetic concerns arising from ongoing restoration efforts, where often little is known about ‘‘How local is local?’’ (i.e., the geographic or environmental scale over which plant species are adapted). We review the major issues regarding gene flow and local adaptation in the restoration of natural plant populations. Finally, we offer some practical, commonsense guidelines for the consideration of genetic structure when restoring natural plant populations.
707 citations
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TL;DR: Rappaport as mentioned in this paper discusses the role of faith in the making of human beings and their relationship to the creation of the world. New York: Cambridge University Press, 1999, p.536 pp.
Abstract: Ritual and Religion in the Making of Humanity. Roy A. Rappaport. New York: Cambridge University Press, 1999.536 pp.
707 citations
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TL;DR: A meta-analytic review of 232 effect sizes showed that attitudes were more negative toward older adults than younger adults as mentioned in this paper, and that perceived age differences were largest for age stereotypes and smallest for evaluations.
Abstract: This meta-analytic review of 232 effect sizes showed that, across five categories, attitudes were more negative toward older than younger adults. Perceived age differences were largest for age stereotypes and smallest for evaluations. As predicted by social role theory (Eagly, 1987), effect sizes were reduced when detailed information was provided about the person being rated. The double standard of aging emerged for evaluations and behavior/behavioral intentions, but was reversed for the competence category. Perceptions depended on respondent age also. Results demonstrated both the multi-dimensionality and the complexity of attitudes toward older adults (Hummert, 1999; Kite & Wagner, 2002).
705 citations
Authors
Showing all 79538 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eric S. Lander | 301 | 826 | 525976 |
Ronald C. Kessler | 274 | 1332 | 328983 |
George M. Whitesides | 240 | 1739 | 269833 |
Ronald M. Evans | 199 | 708 | 166722 |
Virginia M.-Y. Lee | 194 | 993 | 148820 |
Scott M. Grundy | 187 | 841 | 231821 |
Julie E. Buring | 186 | 950 | 132967 |
Patrick O. Brown | 183 | 755 | 200985 |
Anil K. Jain | 183 | 1016 | 192151 |
John C. Morris | 183 | 1441 | 168413 |
Douglas R. Green | 182 | 661 | 145944 |
John R. Yates | 177 | 1036 | 129029 |
Barry Halliwell | 173 | 662 | 159518 |
Roderick T. Bronson | 169 | 679 | 107702 |
Hongfang Liu | 166 | 2356 | 156290 |