Results 121 to 130 of about 924,331 (302)

Sample covariance matrices of heavy-tailed distributions [PDF]

, 2016
Let $p>2$, $B\geq 1$, $N\geq n$ and let $X$ be a centered $n$-dimensional random vector with the identity covariance matrix such that $\sup\limits_{a\in S^{n-1}}{\mathrm E}|\langle X,a\rangle|^p\leq B$.
K. Tikhomirov
semanticscholar   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Efficient Distributed Estimation of Inverse Covariance Matrices

, 2016
In distributed systems, communication is a major concern due to issues such as its vulnerability or efficiency. In this paper, we are interested in estimating sparse inverse covariance matrices when samples are distributed into different machines.
Arroyo, Jesús, Hou, Elizabeth
core   +1 more source

Stress‐Programmed Immune Niches Fuel TNFR2+ Treg Activation and Drive Neoadjuvant Chemotherapy Resistance in Breast Cancer

Advanced Science, EarlyView.
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao, Xuliren Wang, Han Zhu, Ling Yao, Qi Zhang, Zihan Zhai, Xinyi Lv, Xinyuan Xia, Yi Zhang, Xinya Lu, Xinyi Quan, Jiawen Yang, Xinwei Li, Jieyi Dong, Zhi‐ming Shao, Ruoxi Wang, Bingqiu Xiu, Jiong Wu, Sheng Chen   +18 more
wiley   +1 more source

Covariance Characterization by Partial Autocorrelation Matrices

The Annals of Statistics, 1978
It is known that the autocorrelation function of a stationary discrete-time scalar process can be uniquely characterized by the so-called partial autocorrelation function, which is a sequence of numbers less or equal to one in magnitude. We show here that the matrix covariance function of a multivariate stationary process can be characterized by a ...
Morf, M., Vieira, A., Kailath, T.
openaire   +2 more sources

SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers

Advanced Science, EarlyView.
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai, Jing‐Shan Liao, Jia‐Jun Ma, Yu‐Xuan Pang, Yi‐Gang Chen, Yang‐Chi‐Dung Lin, Yi‐Dan Chen, Xin Cao, Yi‐Cheng Zhang, Tao‐Sheng Xu, Tzong‐Yi Lee, Hsi‐Yuan Huang, Hsien‐Da Huang   +12 more
wiley   +1 more source

Characteristic Polynomials of Sample Covariance Matrices [PDF]

Journal of Theoretical Probability, 2010
We investigate the second-order correlation function of the characteristic polynomial of a sample covariance matrix. Starting from an explicit formula for the generating function, we re-obtain several well-known kernels from random matrix theory.
openaire   +3 more sources

Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility

Advanced Science, EarlyView.
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin, Xiaodian Cai, Zhanming Zhong, Tingting Li, Xinyou Chen, Wondossen Ayalew, Zhiting Xu, Chen Wei, Xiaoke Zhang, Hong Cheng, Zhenyang Zhang, Xuehua Li, Yongjie Tang, Siqian Chen, Jun Zhou, Jinglei Si, Xibo Wu, Chao Ning, Qishan Wang, Yuchun Pan, Yahui Gao, Jiaqi Li, Ying Yu, Zhe Zhang, Yunxiang Zhao, Lingzhao Fang, Zhe Zhang   +26 more
wiley   +1 more source

Prior for Structural Materials

EPJ Web of Conferences, 2012
The construction of a library containing prior cross sections and related covariance matrices for nine frequently measured reaction channels of 276 structural materials from 1 to 150 MeV is presented.
Wildpaner V., Srdinko Th., Leeb H., Gundacker St., Neudecker D.   +4 more
doaj   +1 more source

A Comparison of Inverse-Wishart Prior Specifications for Covariance Matrices in Multilevel Autoregressive Models

Multivariate Behavioral Research, 2016
Multilevel autoregressive models are especially suited for modeling between-person differences in within-person processes. Fitting these models with Bayesian techniques requires the specification of prior distributions for all parameters.
N. Schuurman, R. Grasman, E. Hamaker
semanticscholar   +1 more source