Results 91 to 100 of about 1,735,832 (325)

Minimax Rates of ℓ_p-Losses for High-Dimensional Linear Errors-in-Variables Models over ℓ_q-Balls. [PDF]

Entropy (Basel), 2021
Li X, Wu D.
europepmc   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Hierarchical Bayesian semi-parametric models for measurement error correction in determining optimal fertilizer application levels

Scientific African
Measurement errors present a substantial challenge in accurately determining optimal fertilizer application levels, directly impacting agricultural efficiency and cost-effectiveness.
Amos Kipkorir Langat, Samuel Musili Mwalili, Lawrence Ndekeleni Kazembe   +2 more
doaj   +1 more source

Higher Moment Estimators for Linear Regression Models With Errors in the Variables [PDF]

This paper proposes instrumental variable estimators for multiple linear regression models with errors in the explanatory variables, that require no extraneous information. As is very well known, the ordinary least squares estimator (OLS), which is based
Denyse L. Dagenais, Marcel Dagenais
core  

High-dimensional instrumental variables regression and confidence sets [PDF]

, 2018
This article considers inference in linear models with d\_X regressors, some or many of which could be endogenous, and d\_Z instrumental variables (IVs). d\_Z can range from less than d\_X to any order smaller than an exponential in the sample size.
Gautier, Eric, Rose, Christiern
core   +2 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

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, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.

PLoS ONE
BackgroundRoad traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions.
Ali Golestani, Nazila Rezaei, Mohammad-Reza Malekpour, Naser Ahmadi, Seyed Mohammad-Navid Ataei, Sepehr Khosravi, Ayyoob Jafari, Saeid Shahraz, Farshad Farzadfar   +8 more
doaj   +1 more source

The Application of Forecasting Sales of Services to Increase Business Competitiveness

Journal of Competitiveness, 2020
The accurate forecasting of business variables is a key element for a company’s competitiveness which is becoming increasing necessary in this globalized and digitalized environment.
Andrea Kolkova
doaj   +1 more source

Fast and robust estimation of the multivariate errors in variables model. [PDF]

In the multivariate errors in variable models one wishes to retrieve a linear relationship of the form y = ß x + a, where both x and y can be multivariate. The variables y and x are not directly measurable, but observed with measurement error.
Croux, Christophe, Fekri, M, Ruiz-Gazen, A   +2 more
core  

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source