Genome-scale data resolves the timing of divergence in Joshua trees.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of botany"
DOI: 10.1002/ajb2.1633
Abstract: PREMISE Joshua trees (Yucca brevifolia and Y. jaegeriana) and their yucca moth pollinators (Tegeticula synthetica and T. antithetica) are a model system for studies of plant-pollinator coevolution and, they are thought to be one of… read more here.
Keywords: coevolution; genome scale; joshua trees; divergence ... See more keywords
Autonomic workload performance tuning in large-scale data repositories
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1272-0
Abstract: AbstractThe workload in large-scale data repositories involves concurrent users and contains homogenous and heterogeneous data. The large volume of data, dynamic behavior and versatility of large-scale data repositories is not easy to be managed by… read more here.
Keywords: large scale; workload; scale data; performance ... See more keywords
A resource-efficient tool for mixed model association analysis of large-scale data
Sign Up to like & getrecommendations! Published in 2019 at "Nature Genetics"
DOI: 10.1038/s41588-019-0530-8
Abstract: The genome-wide association study (GWAS) has been widely used as an experimental design to detect associations between genetic variants and a phenotype. Two major confounding factors, population stratification and relatedness, could potentially lead to inflated… read more here.
Keywords: tool; association; model; scale data ... See more keywords
Quantile regression for large-scale data via sparse exponential transform method
Sign Up to like & getrecommendations! Published in 2018 at "Statistics"
DOI: 10.1080/02331888.2018.1534853
Abstract: ABSTRACT In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression… read more here.
Keywords: large scale; quantile regression; regression; regression large ... See more keywords
A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Fusion Science and Technology"
DOI: 10.1080/15361055.2020.1851073
Abstract: Abstract The global nature of the ITER project along with its projected approximately petabyte-per-day data generation presents not only a unique challenge but also an opportunity for the fusion community to rethink, optimize, and enhance… read more here.
Keywords: large scale; real time; framework; analysis ... See more keywords
Resolving the Early Divergence Pattern of Teleost Fish Using Genome-Scale Data
Sign Up to like & getrecommendations! Published in 2021 at "Genome Biology and Evolution"
DOI: 10.1093/gbe/evab052
Abstract: Abstract Regarding the phylogenetic relationship of the three primary groups of teleost fishes, Osteoglossomorpha (bonytongues and others), Elopomorpha (eels and relatives), Clupeocephala (the remaining teleost fish), early morphological studies hypothesized the first divergence of Osteoglossomorpha,… read more here.
Keywords: genome scale; first divergence; divergence; teleost fish ... See more keywords
PRSice-2: Polygenic Risk Score software for biobank-scale data
Sign Up to like & getrecommendations! Published in 2019 at "GigaScience"
DOI: 10.1093/gigascience/giz082
Abstract: Abstract Background Polygenic risk score (PRS) analyses have become an integral part of biomedical research, exploited to gain insights into shared aetiology among traits, to control for genomic profile in experimental studies, and to strengthen… read more here.
Keywords: risk score; scale data; polygenic risk; prsice ... See more keywords
Challenges of Large-Scale Data Processing in the 1990s: The IPUMS Experience
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Annals of the History of Computing"
DOI: 10.1109/mahc.2022.3214736
Abstract: Abstract:When it was launched in 1991, the Integrated Public Use Microdata Series (IPUMS) project faced a challenging environment and limited resources. Few datasets were interoperable and much data collected at great public expense was inaccessible… read more here.
Keywords: processing 1990s; scale data; data processing; challenges large ... See more keywords
Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3166894
Abstract: Graph-based semi-supervised learning methods have been used in a wide range of real-world applications, e.g., from social relationship mining to multimedia classification and retrieval. However, existing methods are limited along with high computational complexity or… read more here.
Keywords: scale data; graph; data distribution; distribution ... See more keywords
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3216704
Abstract: In this paper, we address the problem of conducting statistical inference in settings involving large-scale data that may be high-dimensional and contaminated by outliers. The high volume and dimensionality of the data require distributed processing… read more here.
Keywords: scale data; two stage; large scale; stage ... See more keywords
Convective-Scale Data Assimilation for the Weather Research and Forecasting Model Using the Local Particle Filter
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-16-0298.1
Abstract: AbstractParticle filters (PFs) are Monte Carlo data assimilation techniques that operate with no parametric assumptions for prior and posterior errors. A data assimilation method introduced recently, called the local PF, approximates the PF solution within… read more here.
Keywords: assimilation; data assimilation; convective scale; assimilation weather ... See more keywords