Results 81 to 90 of about 383,160 (312)

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

SUR Estimation of Error Components Models With AR(1) Disturbances and Unobserved Endogenous Effects [PDF]

This paper focuses on the estimation of error components models in the presence of a correlation of the disturbances across equations and AR(1) of the remainder disturbances for panel data with endogenous unobserved effects.
Peter Egger
core  

Noise distribution for AR(2, 1) model.

, 2022
Density histogram of the reconstructed error terms for the spatial-temporal AR(2,1) model. (TIFF)
Kwun Chuen Gary Chan (3641947), Adrian Patrick Kennedy (9745501), Jinhui Han (8786483), Sheung Chi Phillip Yam (9745504)   +3 more
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

The Exact Cumulative Distribution Function of a Ratio of Quadratic Forms in Normal Variables with Application to the AR(1) Model. [PDF]

Often neither the exact density nor the exact cumulative distribution function (CDF) of a statistic of interest are available in the statistics and econometrics literature (for example the maximum likelihood estimator of the autocorrelation coefficient ...
Giovanni Forchini
core  

Development of human monoclonal antibodies against TARM1 by yeast display

FEBS Open Bio, EarlyView.
Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe, Mayumi Saeki, Masaaki Hashiguchi, Sayaka Ono, Kazuhisa Aoki, Hidetaka Tanno   +5 more
wiley   +1 more source

Effect of data error correlations on trans-dimensional MT Bayesian inversions

Earth, Planets and Space, 2019
Real magnetotelluric (MT) data errors are commonly correlated, but MT inversions routinely neglect such correlations without an investigation on the impact of this simplification.
Rongwen Guo, Liming Liu, Jianxin Liu, Ya Sun, Rong Liu   +4 more
doaj   +1 more source

Nonparametric estimators for varextropy under $\alpha$-mixing condition with appliction in exponential AR(1) model [PDF]

Journal of Mahani Mathematical Research
The goal of this paper is to study the problem of estimation of varextropy function under $\alpha$-mixing dependence condition. We propose nonparametric estimators for varextropy, residual varextropy and  past varextropy.
Raheleh Zamini, Faranak Goodarzi, Mohamad Salimi   +2 more
doaj   +1 more source

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

FEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu, Lanlan Li, Wenjuan Jia, Hanzhong Feng, Xiaoquan Yu, Youli Zhao, Fengzhi Yuan, Hui Ding, Junqiang Tian, Yong‐Xing He, Zhiping Wang   +10 more
wiley   +1 more source

Parameter estimation in nonlinear AR–GARCH models [PDF]

This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a general nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a general ...
Mika Meitz, Pentti Saikkonen
core