Salt stress and senescence: identification of cross-talk regulatory components
AD Allu, AM Soja, A Wu, J Szymanski… - Journal of …, 2014 - academic.oup.com
Leaf senescence is an active process with a pivotal impact on plant productivity. It results
from extensive signalling cross-talk coordinating environmental factors with intrinsic age …
from extensive signalling cross-talk coordinating environmental factors with intrinsic age …
Complex networks, gene expression and cancer complexity: a brief review of methodology and applications
AC Iliopoulos, G Beis, P Apostolou… - Current …, 2020 - ingentaconnect.com
In this brief survey, various aspects of cancer complexity and how this complexity can be
confronted using modern complex networks' theory and gene expression datasets, are …
confronted using modern complex networks' theory and gene expression datasets, are …
MPTP activates ASK1–p38 MAPK signaling pathway through TNF-dependent Trx1 oxidation in parkinsonism mouse model
Activation of apoptosis signal-regulating kinase 1 (ASK1)–p38 MAPK death signaling
cascade is implicated in the death of dopaminergic neurons in substantia nigra in …
cascade is implicated in the death of dopaminergic neurons in substantia nigra in …
The shape of partial correlation matrices
R Artner, PP Wellingerhof, G Lafit… - … in Statistics-Theory …, 2022 - Taylor & Francis
The correlational structure of a set of variables is often conveniently described by the
pairwise partial correlations as they contain the same information as the Pearson …
pairwise partial correlations as they contain the same information as the Pearson …
Reproducibility and robustness of graph measures of the associative-semantic network
Y Wang, N Nelissen, K Adamczuk, AS De Weer… - PloS one, 2014 - journals.plos.org
Graph analysis is a promising tool to quantify brain connectivity. However, an essential
requirement is that the graph measures are reproducible and robust. We have studied the …
requirement is that the graph measures are reproducible and robust. We have studied the …
Improving the graphical lasso estimation for the precision matrix through roots of the sample covariance matrix
In this article, we focus on the estimation of a high-dimensional inverse covariance (ie,
precision) matrix. We propose a simple improvement of the graphical Lasso (glasso) …
precision) matrix. We propose a simple improvement of the graphical Lasso (glasso) …
A new gene regulatory network model based on BP algorithm for interrogating differentially expressed genes of Sea Urchin
L Liu, T Zhao, M Ma, Y Wang - SpringerPlus, 2016 - Springer
Background Computer science and mathematical theories are combined to analyze the
complex interactions among genes, which are simplified to a network to establish a …
complex interactions among genes, which are simplified to a network to establish a …
Precision matrix estimation under data contamination with an application to minimum variance portfolio selection
In this article, we consider the problem of estimating the precision matrix when the sample
data contains cellwise contamination. For the widely employed methodologies (eg Graphical …
data contains cellwise contamination. For the widely employed methodologies (eg Graphical …
D-trace estimation of a precision matrix using adaptive lasso penalties
The accurate estimation of a precision matrix plays a crucial role in the current age of high-
dimensional data explosion. To deal with this problem, one of the prominent and commonly …
dimensional data explosion. To deal with this problem, one of the prominent and commonly …
D-trace estimation of a precision matrix with eigenvalue control
V Avagyan - Communications in Statistics-Simulation and …, 2021 - Taylor & Francis
The estimation of a precision matrix has an important role in several research fields. In high
dimensional settings, one of the most prominent approaches to estimate the precision matrix …
dimensional settings, one of the most prominent approaches to estimate the precision matrix …