Search Results - "Graffelman, J"

Testing for Hardy-Weinberg equilibrium at biallelic genetic markers on the X chromosome by Graffelman, J, Weir, B S

“…Testing genetic markers for Hardy-Weinberg equilibrium (HWE) is an important tool for detecting genotyping errors in large-scale genotyping studies. For…”
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A Bayesian test for Hardy-Weinberg equilibrium of biallelic X-chromosomal markers by Puig, X, Ginebra, J, Graffelman, J

“…The X chromosome is a relatively large chromosome, harboring a lot of genetic information. Much of the statistical analysis of X-chromosomal information is…”
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Optimal Representation of Supplementary Variables in Biplots from Principal Component Analysis and Correspondence Analysis by Graffelman, Jan, Aluja-Banet, Tomàs

“…This paper treats the topic of representing supplementary variables in biplots obtained by principal component analysis (PCA) and correspondence analysis (CA)…”
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Human live birth and sperm–sex ratios compared by Graffelman, J., Fugger, E.F., Keyvanfar, K., Schulman, J.D.

“…The human secondary sex ratio is compared with the percentage of Y-chromosome bearing spermatozoa in human semen. Live birth sex ratio is about 51.3%, whereas…”
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Statistical inference for hardy-weinberg proportions in the presence of missing genotype information by Graffelman, J, Sánchez, Milagros, Cook, Samantha, Moreno Aguado, Víctor

“…In genetic association studies, tests for Hardy-Weinberg proportions are often employed as a quality control checking procedure. Missing genotypes are…”
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Variation in estimated recombination rates across human populations by GRAFFELMAN, Jan, BALDING, David J, GONZALEZ-NEIRA, Anna, BERTRANPETIT, Jaume

“…Recently it has been reported that recombination hotspots appear to be highly variable between humans and chimpanzees, and there is evidence for between-person…”
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Enriched biplots for canonical correlation analysis by Graffelman, Jan

“…This paper discusses biplots of the between-set correlation matrix obtained by canonical correlation analysis. It is shown that these biplots can be enriched…”
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Calibration of Multivariate Scatter plots for Exploratory Analysis of Relations Within and Between Sets of Variables in Genomic Research by Graffelman, Jan, van Eeuwijk, Fred

“…The scatter plot is a well known and easily applicable graphical tool to explore relationships between two quantitative variables. For the exploration of…”
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Quality statistics in canonical correspondence analysis by Graffelman, Jan

“…Canonical correspondence analysis is an important multivariate tool in ecology. A key aspect of the analysis is the representation of species optima, where…”
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Decay of linkage disequilibrium within genes across HGDP-CEPH human samples: most population isolates do not show increased LD by Bosch, E, Laayouni, Hafid, Morcillo-Suarez, C, Casals, Ferran, Moreno Estrada, A, Ferrer-Admetlla, A, Gardner, M, Rosa i de la Cruz, Araceli, Navarro i Cuartiellas, Arcadi, 1969, Comas, David, Graffelman, J, Calafell, Francesc, Bertranpetit, Jaume, 1952

“…Background It is well known that the pattern of linkage disequilibrium varies between human populations, with remarkable geographical stratification. Indirect…”
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A Statistical Analysis of the Effect of Warfare on the Human Secondary Sex Ratio by GRAFFELMAN, JAN, HOEKSTRA, ROLF F.

“…Many factors have been hypothesized to affect the human secondary sex ratio (the annual percentage of males among all live births), among them race, parental…”
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Site scores and conditional biplots in canonical correspondence analysis by Graffelman, Jan, Tuft, Robyn

“…Canonical correspondence analysis is an important multivariate technique in community ecology. It produces an interesting biplot that summarizes the data…”
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Cancer. Human live birth and sperm-sex ratios compared by Graffelman, J, Fugger, E F, Keyvanfar, K, Schulman, J D

“…The human secondary sex ratio is compared with the percentage of Y-chromosome bearing spermatozoa in human semen. Live birth sex ratio is about 51.3%, whereas…”
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A Fundamental Matrix Result on Scaling in Multivariate Analysis by Graffelman, Jan, Puntanen, Simo, George P. H. Styan

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