Results 81 to 90 of about 6,570,426 (256)

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang   +6 more
wiley   +1 more source

Mean squared errors of small area estimators under a unit-level multivariate model [PDF]

open access: yes, 2005
This work deals with estimating the vector of means of characteristics of small areas. In this context, a unit level multivariate model with correlated sampling errors is considered.
Baíllo, Amparo, Molina, Isabel
core   +1 more source

Best affine unbiased representations in the fully restricted general Gauss-Markov model

open access: yes, 2006
This article completes and simplifies earlier results on the derivation of best linear, or affine, unbiased estimates in the general Gauss-Markov model with a singular dispersion matrix and additional restrictions under very general conditions.
Haupt, Harry, Oberhofer, Walter
core   +1 more source

A Hypothalamic Oxytocinergic–Sympathetic Axis Couples Anxiety Dysregulation With Impaired Tendon–Bone Repair

open access: yesAdvanced Science, EarlyView.
RCI is associated with functional suppression of oxytocinergic neurons in the PVN. Reduced PVNOXT neuronal activity contributes to altered sympathetic regulation involving the IML–sympathetic chain pathway, accompanied by changes in norepinephrine signaling at the BTI.
Liyang Wan   +8 more
wiley   +1 more source

Prediction of a Small Area Mean for an Infinite Population when the Variance Components Are Random [PDF]

open access: yes
In this paper, we propose a new model with random variance components for estimating small area characteristics. Under the proposed model, we derive the empirical best linear unbiased estimator, an approximation to terms of order and an estimator whose ...
Stefan, Marius
core  

Advancing Biotherapeutic Treatment of Ulcerative Colitis Using Lipid Mesophases: Formulation Design and Preclinical Validation

open access: yesAdvanced Science, EarlyView.
Lipid mesophases provide a versatile platform for colon‐targeted delivery of biotherapeutics, protecting them from degradation while enhancing mucoadhesion and enabling localized, controlled release to the inflamed mucosa after oral or rectal administration. In a DSS‐induced colitis model, this strategy reduced disease activity, inflammatory biomarkers,
Rafaela Gazzi   +13 more
wiley   +1 more source

Exact methods for comparison of estimation strategies in survey sampling. [PDF]

open access: yes, 2010
PhDMany strategies in survey sampling depend on large sample approximation formulae for design-based inference on finite population parameters, which are not valid for small samples. We develop an approach using matrix algebra to tackle many problems
Khan, Kaleem Uddin
core   +2 more sources

A Spatial Unit Level Model for Small Area Estimation

open access: yesRevstat Statistical Journal, 2011
This paper approaches the problem of small area estimation in the framework of spatially correlated data. We propose a class of estimators allowing the integration of sample information of a spatial nature.
Pedro S. Coelho , Luís N. Pereira
doaj   +1 more source

Systematic bias of selected estimates applied in vertical displacement analysis

open access: yesJournal of Geodetic Science, 2020
In surveying problems we almost always use unbiased estimators; however, even unbiased estimator might yield biased assessments, which is due to data.
Wyszkowska P., Duchnowski R.
doaj   +1 more source

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