[HTML][HTML] Principal component analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated
E Elhaik - Scientific Reports, 2022 - nature.com
Abstract Principal Component Analysis (PCA) is a multivariate analysis that reduces the
complexity of datasets while preserving data covariance. The outcome can be visualized on …
complexity of datasets while preserving data covariance. The outcome can be visualized on …
Genetic variants underlying differences in facial morphology in East Asian and European populations
Facial morphology—a conspicuous feature of human appearance—is highly heritable.
Previous studies on the genetic basis of facial morphology were performed mainly in …
Previous studies on the genetic basis of facial morphology were performed mainly in …
Ancestry testing of “Old Tom,” a killer whale central to mutualistic interactions with human whalers
Cooperative hunting between humans and killer whales (Orcinus orca) targeting baleen
whales was reported in Eden, New South Wales, Australia, for almost a century. By 1928 …
whales was reported in Eden, New South Wales, Australia, for almost a century. By 1928 …
Molecular biology to infer phenotypes of forensic and ancient remains in bioarchaeology–Review
G Dorado, F Luque, P Pascual, I Jiménez… - …, 2021 - dialnet.unirioja.es
El fenotipo es el resultado de la interacción del genotipo con factores epigenéticos y el
medio ambiente. Se ha considerado que la genética es responsable de> 70% del fenotipo …
medio ambiente. Se ha considerado que la genética es responsable de> 70% del fenotipo …
[HTML][HTML] Exploring regional aspects of 3D facial variation within European individuals
F Wilke, N Herrick, H Matthews, H Hoskens, S Singh… - Scientific reports, 2023 - nature.com
Facial ancestry can be described as variation that exists in facial features that are shared
amongst members of a population due to environmental and genetic effects. Even within …
amongst members of a population due to environmental and genetic effects. Even within …
Why most Principal Component Analyses (PCA) in population genetic studies are wrong
E Elhaik - BioRxiv, 2021 - biorxiv.org
Abstract Principal Component Analysis (PCA) is a multivariate analysis that allows reduction
of the complexity of datasets while preserving data's covariance and visualizing the …
of the complexity of datasets while preserving data's covariance and visualizing the …
[HTML][HTML] Hybrid autoencoder with orthogonal latent space for robust population structure inference
Abstract Analysis of population structure and genomic ancestry remains an important topic in
human genetics and bioinformatics. Commonly used methods require high-quality genotype …
human genetics and bioinformatics. Commonly used methods require high-quality genotype …
Predicting Externally Visible Traits from a DNA Sample for Law Enforcement Applications
N Pandkar - 2022 - scholarworks.sjsu.edu
A large majority of crimes such as homicides, sexual assaults and missing person cases are
not solved within a reasonable timeframe and become cold cases. The ability to predict …
not solved within a reasonable timeframe and become cold cases. The ability to predict …
Biología molecular para inferir fenotipos de restos forenses y antiguos en bioarqueología–Revisión
G Dorado, F Luque, P Pascual, I Jiménez… - …, 2021 - dialnet.unirioja.es
El fenotipo es el resultado de la interacción del genotipo con factores epigenéticos y el
medio ambiente. Se ha considerado que la genética es responsable de> 70% del fenotipo …
medio ambiente. Se ha considerado que la genética es responsable de> 70% del fenotipo …