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Institution

University of Wisconsin-Madison

EducationMadison, Wisconsin, United States
About: University of Wisconsin-Madison is a education organization based out in Madison, Wisconsin, United States. It is known for research contribution in the topics: Population & Gene. The organization has 108707 authors who have published 237594 publications receiving 11883575 citations.


Papers
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Journal ArticleDOI
TL;DR: This work presents methods for identification and alignment of conserved genomic DNA in the presence of rearrangements and horizontal transfer and evaluated the quality of Mauve alignments and drawn comparison to other methods through extensive simulations of genome evolution.
Abstract: As genomes evolve, they undergo large-scale evolutionary processes that present a challenge to sequence comparison not posed by short sequences. Recombination causes frequent genome rearrangements, horizontal transfer introduces new sequences into bacterial chromosomes, and deletions remove segments of the genome. Consequently, each genome is a mosaic of unique lineage-specific segments, regions shared with a subset of other genomes and segments conserved among all the genomes under consideration. Furthermore, the linear order of these segments may be shuffled among genomes. We present methods for identification and alignment of conserved genomic DNA in the presence of rearrangements and horizontal transfer. Our methods have been implemented in a software package called Mauve. Mauve has been applied to align nine enterobacterial genomes and to determine global rearrangement structure in three mammalian genomes. We have evaluated the quality of Mauve alignments and drawn comparison to other methods through extensive simulations of genome evolution.

3,741 citations

Book ChapterDOI
TL;DR: In this paper, a theoretical model of personal normative influences on altruism is presented, which suggests that altruistic behavior is causally influenced by feelings of moral obligation to act on one's personally held norms.
Abstract: Publisher Summary Central to the theoretical model of personal normative influences on altruism presented in this chapter is the idea that altruistic behavior is causally influenced by feelings of moral obligation to act on one's personally held norms. Research supporting this central tenet of the model has demonstrated associations between personal norms and behavior rather than causal relations. These associations are partly causal because the associations appear primarily in the presence of personality conditions conducive to norm activation and are absent when personality conditions are conducive to deactivation, and attributes of personal norms (e.g., centrality, stability, and intensity) relate to altruism singly or in combination, in ways predicted when the causal impact of anticipated moral costs on behavior is assumed. Studies show that variations in situational conditions conducive to activation of moral obligation also influence the relationship between personal norms and behavior. There is ample evidence that variables that foster movement through the activation process—according to the theoretical model—are themselves related to altruistic behavior (e.g., seriousness of need and uniqueness of responsibility). The study of how personal norms are related to altruism is a part of a larger enterprise—the investigation of attitude–behavior relations in general.

3,738 citations

Journal ArticleDOI
TL;DR: The generalized cross-validation (GCV) method as discussed by the authors is a generalized version of Allen's PRESS, which can be used in subset selection and singular value truncation, and even to choose from among mixtures of these methods.
Abstract: Consider the ridge estimate (λ) for β in the model unknown, (λ) = (X T X + nλI)−1 X T y. We study the method of generalized cross-validation (GCV) for choosing a good value for λ from the data. The estimate is the minimizer of V(λ) given by where A(λ) = X(X T X + nλI)−1 X T . This estimate is a rotation-invariant version of Allen's PRESS, or ordinary cross-validation. This estimate behaves like a risk improvement estimator, but does not require an estimate of σ2, so can be used when n − p is small, or even if p ≥ 2 n in certain cases. The GCV method can also be used in subset selection and singular value truncation methods for regression, and even to choose from among mixtures of these methods.

3,697 citations

Book
01 Jul 1986
TL;DR: The mountain pass theorem and its application in Hamiltonian systems can be found in this paper, where the saddle point theorem is extended to the case of symmetric functionals with symmetries and index theorems.
Abstract: An overview The mountain pass theorem and some applications Some variants of the mountain pass theorem The saddle point theorem Some generalizations of the mountain pass theorem Applications to Hamiltonian systems Functionals with symmetries and index theorems Multiple critical points of symmetric functionals: problems with constraints Multiple critical points of symmetric functionals: the unconstrained case Pertubations from symmetry Variational methods in bifurcation theory.

3,685 citations

Journal ArticleDOI
TL;DR: In this article, a coding scheme for classifying physical activity by rate of energy expenditure, i.e., by intensity, was presented for classification of physical activity using five digits that classify activity by purpose (i.e. sports, occupation, sel
Abstract: A coding scheme is presented for classifying physical activity by rate of energy expenditure, i.e., by intensity. Energy cost was established by a review of published and unpublished data. This coding scheme employs five digits that classify activity by purpose (i.e., sports, occupation, sel

3,679 citations


Authors

Showing all 109671 results

NameH-indexPapersCitations
Eric S. Lander301826525976
Ronald C. Kessler2741332328983
Gordon H. Guyatt2311620228631
Yi Chen2174342293080
David Miller2032573204840
Robert M. Califf1961561167961
Ronald Klein1941305149140
Joan Massagué189408149951
Jens K. Nørskov184706146151
Terrie E. Moffitt182594150609
H. S. Chen1792401178529
Ramachandran S. Vasan1721100138108
Masayuki Yamamoto1711576123028
Avshalom Caspi170524113583
Jiawei Han1681233143427
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023333
20221,391
202110,151
20209,483
20199,278
20188,546