Results 81 to 90 of about 427,529 (281)
Advanced Science, EarlyView.TRMT6‐mediated m1A modification in CDK9 mRNA enhances its mRNA stability and translation efficiency, thereby increasing the protein levels of CDK9. Upregulated CDK9 promotes the progression of HCC by elevating the levels of oncogenic factors including p‐STAT3, MCL1, and BCL‐2. On the other hand, CDK9 phosphorylates TARDBP at Ser254 to activate HBV core
Rui Zhang +12 more
wiley +1 more source
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Journal of Statistical SoftwareShape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning, and related fields.
Sheng Dai +3 more
doaj +1 more source
Advanced Science, EarlyView.This study presents the de novo design and directed evolution of a mirror‐image D‐protein inhibitor targeting human interleukin‐4 (IL‐4). The engineered molecule exhibits nanomolar binding affinity for IL‐4 and effectively inhibits IL‐4–mediated signaling.
Liqing Xu +7 more
wiley +1 more source
Block stochastic gradient iteration for convex and nonconvex optimization [PDF]
, 2014 The stochastic gradient (SG) method can minimize an objective function composed of a large number of differentiable functions, or solve a stochastic optimization problem, to a moderate accuracy.
Xu, Yangyang, Yin, Wotao
core +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Spurious regression under deterministic and stochastic trends [PDF]
This paper analyses the asymptotic and finite sample implications of a mixed nonstationary behavior among the dependent and explanatory variables in a linear spurious regression model. We study the cases when the nonstationarity in the dependent variable
Antonio E. Noriega +1 more
core
Regression Analysis with a Stochastic Design Variable
International Statistical Review, 2006 Summary In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given.
Sazak,, Hakan S. +2 more
openaire +3 more sources
Advanced Science, EarlyView.A healthy gut barrier shields underlying fibroblasts from luminal shear forces, illustrating that “good fences make good neighbors.” Barrier damage exposes fibroblasts to shear stress, inducing cell death and the emergence of stress‐adapted, profibrotic fibroblasts. Sustained shear exposure promotes the formation of stiff aggregates of mechanoadapative
Soyoun Min +6 more
wiley +1 more source
Convergence of stochastic process with Markov switching [PDF]
Математичні Студії, 2012 It has been established sufficient conditions for the convergence of a multi-dimensional stochastic process in the case of dependence of the regression function on the environment, which is described by Markov switchings.
O. I. Kiykovska, Ya. M. Chabanyuk
doaj
Application of Stochastic Flood Forecasting Model Using Regression Method for Kelantan Catchment
MATEC Web of Conferences, 2018 Flood is without doubt the most devastating natural disasters, striking numerous regions in Malaysia each year. During the last decades, the trend in flood damages has been growing exponentially. This is a consequence of the increasing frequency of heavy
Osman Sazali +6 more
doaj +1 more source