[HTML][HTML] Vetinformatics from functional genomics to drug discovery: insights into decoding complex molecular mechanisms of livestock systems in veterinary science
RK Pathak, JM Kim - Frontiers in Veterinary Science, 2022 - frontiersin.org
Having played important roles in human growth and development, livestock animals are
regarded as integral parts of society. However, industrialization has depleted natural …
regarded as integral parts of society. However, industrialization has depleted natural …
[HTML][HTML] Suitability of gwas as a tool to discover Snps associated with tick resistance in cattle: a review
Understanding the biological mechanisms underlying tick resistance in cattle holds the
potential to facilitate genetic improvement through selective breeding. Genome wide …
potential to facilitate genetic improvement through selective breeding. Genome wide …
[HTML][HTML] Polygenic risk for prostate cancer: decreasing relative risk with age but little impact on absolute risk
DJ Schaid, JP Sinnwell, A Batzler… - The American Journal of …, 2022 - cell.com
Polygenic risk scores (PRSs) for a variety of diseases have recently been shown to have
relative risks that depend on age, and genetic relative risks decrease with increasing age. A …
relative risks that depend on age, and genetic relative risks decrease with increasing age. A …
Machine learning-enhanced magnetic calibration for airborne magnetic anomaly navigation
A Gnadt - AIAA SciTech 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1760. vid Using the earth's
magnetic field for navigation of aircraft has shown promise as a viable alternative to the …
magnetic field for navigation of aircraft has shown promise as a viable alternative to the …
[HTML][HTML] Unveiling the genetic basis of Fusarium wilt resistance in chickpea using GWAS analysis and characterization of candidate genes
AM Alsamman, K H. Mousa, T Istanbuli… - Frontiers in …, 2024 - frontiersin.org
Introduction: Chickpea is a legume crop that thrives in regions with semi-arid or temperate
climates. Its seeds are an excellent source of proteins, carbohydrates, and minerals …
climates. Its seeds are an excellent source of proteins, carbohydrates, and minerals …
Estimating Double Sparse Structures over ℓu(ℓq)-Balls: Minimax Rates and Phase Transition
In this paper, we focus on the high-dimensional double sparse structures, where the
parameter of interest simultaneously encourages group-wise and element-wise sparsity. By …
parameter of interest simultaneously encourages group-wise and element-wise sparsity. By …
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
Statistical analysis of ultrahigh-dimensional omics scale data has long depended on
univariate hypothesis testing. With growing data features and samples, the obvious next step …
univariate hypothesis testing. With growing data features and samples, the obvious next step …
[HTML][HTML] CLIN_SKAT: an R package to conduct association analysis using functionally relevant variants
A Chattopadhyay, CY Shih, YC Hsu, JMJ Juang… - BMC …, 2022 - Springer
Background Availability of next generation sequencing data, allows low-frequency and rare
variants to be studied through strategies other than the commonly used genome-wide …
variants to be studied through strategies other than the commonly used genome-wide …
Improving efficiency of fitting Cox proportional hazards models for time-to-event outcomes in genome-wide association studies (GWAS)
Technologies identifying single nucleotide polymorphisms (SNPs) in DNA sequencing yield
an avalanche of data requiring analysis and interpretation. Standard methods may require …
an avalanche of data requiring analysis and interpretation. Standard methods may require …
Multivariate genome-wide association analysis by iterative hard thresholding
Motivation In a genome-wide association study, analyzing multiple correlated traits
simultaneously is potentially superior to analyzing the traits one by one. Standard methods …
simultaneously is potentially superior to analyzing the traits one by one. Standard methods …