Results 121 to 130 of about 4,820,822 (305)

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

open access: yesMolecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas   +16 more
wiley   +1 more source

Robust Estimation via Measurement Error Modeling

open access: yes, 2005
We introduce a new method to robustifying inference that can be applied in any situation where a parametric likelihood is available. The key feature is that data from the postulated parametric models are assumed to be measured with error where the ...
Wang, Qiong
core  

渐开线测量蜗杆误差补偿原理的研究

open access: yesJixie chuandong, 2001
It is essence of gear integrated error measurement to obtain gear error information by measuring gear tuming angle variation on the base of single-flank engagement between the measurement worm and the gear. The error of measurement worm is the key factor
段振云, 郑鹏, 隋阿君, 韦茵
doaj  

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

open access: yesMolecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi   +6 more
wiley   +1 more source

On heteroscedastic covariate measurement error in Cox regression

open access: yes, 2017
Many survival studies have error-contaminated covariates, which may lack a gold standard of measurement. Furthermore, the error distribution can depend on the true covariates but the dependence structure is typically difficult to quantify ...
Huang, Yijian
core   +1 more source

Model of Indirect Temperature Measurement by Neural Network [PDF]

open access: yesActa Montanistica Slovaca, 2008
Determination of temperature inside steel rolls during annealing is key to achieving the best quality of the process. Today it is not typical to measure this temperature and the time of annealing is determined empirically.
Karol Kostúr, Andrea Mojžišová
doaj  

Castration‐resistant prostate cancer cells are addicted to the high activity of cyclin‐dependent kinase 2

open access: yesMolecular Oncology, EarlyView.
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee   +3 more
wiley   +1 more source

Accuracy Analysis of Transmission Error Measurement of Precision Reducer

open access: yesJixie chuandong, 2020
The key parameter that characterizes the transmission accuracy of the precision reducer is the transmission error, but the problem of analyzing the accuracy of the transmission error measurement of the precision reducer for the robot is still blank.
Zhang Yue, Zhang Lintao, Tan Wei
doaj  

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

open access: yesMolecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou   +4 more
wiley   +1 more source

Correction for covariate measurement error in nonparametric regression [PDF]

open access: yes, 2006
Many areas of applied statistics have become aware of the problem of measurement error-prone variables and their appropriate analysis. Simply ignoring the error in the analysis usually leads to biased estimates, like e.g.
Rummel, David
core   +1 more source

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