This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
Genetic variation describes the genotypic and phenotypic differences between individuals in a population, and between populations. This variation arises through genetic mutation and is important as it ...
OncoRisk provides a unified platform for multidatabase queries, semi-automated clinical reporting, and cohort-level analysis, facilitating the translation of cancer genomic data into clinical insights ...
Abstract: In power distribution network designs, a large number of decoupling capacitors (decaps) may be needed to satisfy target impedance limits. Many algorithms have been proposed and implemented ...
Abstract: This paper presents a novel approach to designing reconfigurable antenna using genetic algorithms (GAs) and accurate PIN diode modeling. The method integrates TRL calibration for precise ...
Single-cell genomics (scRNA-seq, scATAC-seq, spatial transcriptomics, and multiome assays) resolves molecular variation at the level of individual cells. When integrated with GWAS, these data enable a ...
For this tutorial (EAS BBJ traits), download and unpack the EAS archives from Zenodo, plus the HapMap3 allele list used by munge_sumstats.py (see note below). EAS genome-wide LD scores for univariate ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results