Results 51 to 60 of about 2,481,944 (297)
Molecular Oncology, EarlyView.AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
, 2014 Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays.
H. Ker
semanticscholar +1 more source
Molecular Oncology, EarlyView.A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
Revista Colombiana de Estadística, 2007 The mixed linear model is characterized using the classic linear model of Gauss-Markov. The multipliers of Lagrange are a tool to obtain the best lineal predictors (BLUP), we shown the results of Searle (1997), where some sums of the best linear unbiased
López Luis Alberto +2 more
doaj
ISPRS International Journal of Geo-Information, 2019 This article aims at testing the possibilities of applying hierarchical spatial autoregressive models to create land value maps in urbanized areas. The use of HSAR (Hierarchical Spatial Autoregressive) models for spatial differentiation of prices in the ...
Radosław Cellmer +2 more
doaj +1 more source
Partitioned conditional generalized linear models for categorical data [PDF]
, 2014 In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formally defined for only two or three levels in the hierarchy.
Guédon, Yann +2 more
core +4 more sources
Non-linear Learning for Statistical Machine Translation
, 2015 Modern statistical machine translation (SMT) systems usually use a linear combination of features to model the quality of each translation hypothesis. The linear combination assumes that all the features are in a linear relationship and constrains that ...
Chen, Huadong +3 more
core +1 more source
Molecular Oncology, EarlyView.ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
Sobre la construcción del mejor predictor lineal insesgado (BLUP) y restricciones asociadas
Revista Colombiana de Estadística, 2007 A través del modelo lineal clásico de Gauss-Markov, se caracteriza el modelo de efectos mixtos, se aplica la técnica de multiplicadores de Lagrange para obtener los mejores predictores lineales (BLUP) y se ilustran los resultados de Searle (1997), donde ...
LUIS ALBERTO LÓPEZ +2 more
doaj
Education Sciences, 2022 School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance.
Jesús García-Jiménez +2 more
doaj +1 more source