Our model predicts an important consequence of interference interactions: a substantial fraction of the genomic substitutions observed in laboratory or field data of dense-sweep processes are not driver mutations, but moderately beneficial or deleterious passenger mutations fixed by hitchhiking.
The first oxygen permeation data of a dense hollow fiber perovskite membrane based on BaCoxFeyZrzO3 − δ are reported.
Therefore, we performed a detailed analysis to estimate locations and focal mechanisms of these events from data of a dense seismic network deployed around the Hinagu fault zone and discuss a possible mechanism for the loading process leading to tectonic earthquakes.
We have, he notes, "been enveloping the world around [information technologies] for decades without fully realising it" – wrapping everything we do in layers of data so dense that they can no longer be comprehended outside of machine memory, speed and pattern-recognising power.
Imputation accuracy for common SNPs may be further increased by using larger reference panels with data on denser sets of variants.
Genomic selection models for parent selection were constructed from phenotypic data of their dense-planted half-sib progenies, assessing their selection accuracy for different SNP calling procedures, strategies and algorithms for missing data imputation, and prediction models.
We used the data of GEONET, a dense GPS receiver network operated by the Geospatial Information Authority of Japan.
Attempts to produce this "holy grail" include relatively simple analyses of base-pair substitutions (Lasky and Silbergeld 1996) and collection of dense data sets derived from microarray gene expression data and proteomics (Frijters et al. 2007).
Additionally, the population approach allows not only for the analysis of dense data, but also for sparse (limited number of observations per individual) and unbalanced data (unequal distribution of observations in various parts of the concentration time profile in the individuals) or a combination of both.
However, this smoothing surface approach requires a set of dense data points for regression within a local (or span) window that typically form a "point cloud" of data points which lie above/below and to the left/right of the actual surface.
