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Current Biology, 2021
In the last ten years, the next generation sequencing revolution has multiplied the amount of genetic data for many organisms by orders of magnitude. This has not only led to evolutionary biologists having more data available but also to new and different types of data: from a handful of allozyme markers in the 70s, we got dozens of restriction ...
Marchi, Nina +2 more
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In the last ten years, the next generation sequencing revolution has multiplied the amount of genetic data for many organisms by orders of magnitude. This has not only led to evolutionary biologists having more data available but also to new and different types of data: from a handful of allozyme markers in the 70s, we got dozens of restriction ...
Marchi, Nina +2 more
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MATHEMATICAL INFERENCE AND LOGICAL INFERENCE
The Review of Symbolic Logic, 2018AbstractThe deviation ofmathematical proof—proof in mathematical practice—from the ideal offormal proof—proof in formal logic—has led many philosophers of mathematics to reconsider the commonly accepted view according to which the notion of formal proof provides an accurate descriptive account of mathematical proof.
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2017
Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Sunah, Song, Xin, Li, Jing, Li
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Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Sunah, Song, Xin, Li, Jing, Li
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2004
Abstract Reject inference has an established role in the development of scorecards for credit applications. The performance of the rejects, had they been accepted, is inferred to be good or bad in order to obtain a complete picture of the population applying for credit.
Gaynor Bennett +2 more
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Abstract Reject inference has an established role in the development of scorecards for credit applications. The performance of the rejects, had they been accepted, is inferred to be good or bad in order to obtain a complete picture of the population applying for credit.
Gaynor Bennett +2 more
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2012
The information carried by combination of alleles on the same chromosome, called haplotypes, is of crucial interest in several fields of modern genetics as population genetics or association studies. However, this information is usually lost by sequencing and needs, therefore, to be recovered by inference.
Olivier, Delaneau +1 more
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The information carried by combination of alleles on the same chromosome, called haplotypes, is of crucial interest in several fields of modern genetics as population genetics or association studies. However, this information is usually lost by sequencing and needs, therefore, to be recovered by inference.
Olivier, Delaneau +1 more
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Journal of PeriAnesthesia Nursing, 1996
The goal of research is to discover new knowledge to improve patient care. Research is essential because of its ability to establish causal relationships. This article discusses the minimum requirements a research report must meet to establish a causal relationship.
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The goal of research is to discover new knowledge to improve patient care. Research is essential because of its ability to establish causal relationships. This article discusses the minimum requirements a research report must meet to establish a causal relationship.
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2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
openaire +3 more sources