Results 121 to 130 of about 719,228 (391)

Unveiling Salt Tolerance Mechanisms in Plants: Integrating the KANMB Machine Learning Model With Metabolomic and Transcriptomic Analysis

Advanced Science, EarlyView.
Salt stress endangers coastal cereal crops, requiring resilient crop solutions. This study employs machine learning (KANMB) to analyze multi‐omics data from halophyte Spartina alterniflora, revealing 226 salt‐stress biomarkers and linking them to tolerance pathways. The MYB gene SaMYB35 regulates flavonoid biosynthesis under salinity.
Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li   +7 more
wiley   +1 more source

A Bootstrap Lasso + Partial Ridge Method to Construct Confidence Intervals for Parameters in High-dimensional Sparse Linear Models

, 2020
Constructing confidence intervals for the coefficients of high-dimensional sparse linear models remains a challenge, mainly because of the complicated limiting distributions of the widely used estimators, such as the lasso.
Li, Jingyi Jessica, Liu, Hanzhong, Xu, Xin   +2 more
core   +1 more source

Dynamic and Stable Core Microbiota Assist Plants in Enriching Selenium and Reducing Cadmium Absorption

Advanced Science, EarlyView.
During different developmental stages of plants in natural Se–Cd coexisting soils, there is a group of rhizosphere microorganisms with highly dynamic abundance. The abundance variation of these microorganisms is strongly positively correlated with available Se and strongly negatively correlated with available Cd.
Zheng Lei, Hua Zhang, Wenju Liu, Jiandong Sheng, Huan Zhang, Yin Wang, Yanni Tang, Huaxing Wang, Cuicui Ding, Wanqi Qiao, Yonghui Zhu, Guoyin Yang, Yihan Zhang, Zhuoyi Liu, Nanyu Zhou, Chengxiao Hu, Xiaohu Zhao   +16 more
wiley   +1 more source

Moment Consistency of the Exchangeably Weighted Bootstrap for Semiparametric M-Estimation [PDF]

arXiv, 2011
The bootstrap variance estimate is widely used in semiparametric inferences. However, its theoretical validity is a well known open problem. In this paper, we provide a {\em first} theoretical study on the bootstrap moment estimates in semiparametric models.
arxiv  

Abiotic Factors and Plant Communities Shape the Distribution of Soil Pathogenic Oomycetes in Chinese Grasslands

Advanced Science, EarlyView.
The continental‐scale study reveals that soil phosphorus strongly predicts the richness of soil pathogenic oomycetes in Chinese grasslands, while precipitation and plant species richness drive their absolute abundance; modeling predicts ≈42% of grassland areas may face elevated oomycete disease risk under future climate scenarios, especially in typical
Junsheng Ke, Chen Zhu, Peixi Jiang, Peng Zhang, Kui Hu, Yilin Dang, Yao Xiao, Mu Liu, Huiying Liu, Xiang Liu, Ville‐Petri Friman   +10 more
wiley   +1 more source

EstimatedWold Representation and Spectral Density-Driven Bootstrap for Time Series [PDF]

arXiv, 2017
The second-order dependence structure of purely nondeterministic stationary process is described by the coefficients of the famous Wold representation. These coefficients can be obtained by factorizing the spectral density of the process. This relation together with some spectral density estimator is used in order to obtain consistent estimators of ...
arxiv  

Genomic Variation Underpins Genetic Divergence and Differing Salt Resilience in Sesbania bispinosa

Advanced Science, EarlyView.
Sesbania, a leguminous halophyte, thrives in saline soils. Comparative genomics reveals key genomic variations—particularly chromosomal inversions—are identified as contributors to population differentiation and salt resilience. These findings advance the understanding of genomic variation driving evolution and phenotypic differentiation and offer ...
Gai Huang, Xiaofei Wang, Chengli Liu, Kaixuan He, Xiu‐Li Hou, Haofei Luo, Shuaibin Zhang, Changqing You, Yajun Jia, Fuqiang Wang, Xianwei Song, Guodao Liu, Xian Deng, Xiaofeng Cao   +13 more
wiley   +1 more source

Inference under random limit bootstrap measures [PDF]

arXiv, 2019
Asymptotic bootstrap validity is usually understood as consistency of the distribution of a bootstrap statistic, conditional on the data, for the unconditional limit distribution of a statistic of interest. From this perspective, randomness of the limit bootstrap measure is regarded as a failure of the bootstrap.
arxiv  

Bootstrap Blues

, 2014
Meet David*. In mid-January, he came to the small town Iowa elementary school where I work. David has attended more schools in the two years since he started school than I have in my lifetime.
Frantz, Hannah M.
core  

Using the bootstrap to quantify the authority of an empirical ranking

, 2009
The bootstrap is a popular and convenient method for quantifying the authority of an empirical ordering of attributes, for example of a ranking of the performance of institutions or of the influence of genes on a response variable.
Hall, Peter, Miller, Hugh
core   +1 more source