Results 51 to 60 of about 25,682 (291)

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

open access: yesMolecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece   +18 more
wiley   +1 more source

Hybrid Shrinkage Estimators Using Penalty Bases For The Ordinal One-Way Layout

open access: yes, 2005
This paper constructs improved estimators of the means in the Gaussian saturated one-way layout with an ordinal factor. The least squares estimator for the mean vector in this saturated model is usually inadmissible.
Beran, Rudolf
core   +1 more source

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

open access: yesMolecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto   +8 more
wiley   +1 more source

a simulation comparison of Ridge regression estimators with Lars

open access: yesپژوهش‌های ریاضی, 2022
Introduction Regression analysis is a common method for modeling relationships between variables. Usually Ordinary Least Squares method is applied to estimate regression model parameters.
Roshanak Alimohammadi, Jaleh Bahari
doaj  

Forecasting Seasonal Sales with Many Drivers: Shrinkage or Dimensionality Reduction?

open access: yesApplied System Innovation, 2022
Retailers depend on accurate forecasts of product sales at the Store × SKU level to efficiently manage their inventory. Consequently, there has been increasing interest in identifying more advanced statistical techniques that lead to accuracy ...
Patrícia Ramos   +3 more
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

open access: yesMolecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj   +4 more
wiley   +1 more source

Combining antibody conjugates with cytotoxic and immune‐stimulating payloads maximizes anti‐cancer activity

open access: yesMolecular Oncology, EarlyView.
Methods to improve antibody–drug conjugate (ADC) treatment durability in cancer therapy are needed. We utilized ADCs and immune‐stimulating antibody conjugates (ISACs), which are made from two non‐competitive antibodies, to enhance the entry of toxic payloads into cancer cells and deliver immunostimulatory agents into immune cells.
Tiexin Wang   +3 more
wiley   +1 more source

Improved Efficiency in Generalized Poisson Hurdle Model Estimation Using Restricted and Shrinkage Methods

open access: yesJournal of Mathematics
This paper investigates the use of shrinkage estimators in the generalized Poisson hurdle (GPH) model for count data analysis. The GPH model effectively handles data with both excess zeros and over- or underdispersion.
Hayder Hasan Rahmah Al-Gharrawi   +2 more
doaj   +1 more source

A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology

open access: yes, 2020
The widespread availability of high-dimensional biological data has made the simultaneous screening of numerous biological characteristics a central statistical problem in computational biology.
Boileau, Philippe   +3 more
core   +1 more source

Combining Minimax Shrinkage Estimators [PDF]

open access: yesJournal of the American Statistical Association, 1986
Abstract When one estimates a multivariate normal mean, the use of Stein estimation entails both the grouping of coordinates and the selection of a set of targets toward which to shrink each group. In this article we propose new minimax multiple shrinkage estimators that allow for multiple specifications of these aspects.
openaire   +1 more source

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