Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Journal of Dairy Science: The variability of milk spectra within and between dairy animals reflects the complex biological processes underlying milk production. Studying this variability may offer insights into an animal's physiological or health status and help elucidate ...
S. Casu +6 more
doaj +1 more source
Investigating the impact of non-additive genetic effects in the estimation of variance components and genomic predictions for heat tolerance and performance traits in crossbred and purebred pig populations. [PDF]
BMC Genom Data, 2023 de Oliveira LF +7 more
europepmc +1 more source
Elements of a Theory of Design Limits to Optimal Policy [PDF]
This paper presents a framework for understanding the limits that exist in optimal policy design in dynamic contexts. We consider the design of policies in the context of dynamic linear models.
Steven N. Durlauf, William A. Brock
core
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Relative Performance of Components Variance Estimators in Random Effects Models [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2012 This paper presents an assessment of the small-sample performance of the three well-known estimators of components variance in random effects model for panel data. The estimators considered are Swamy-Arora, Wansbeek-Kaptayn and Wallace-Hussain.
Teymur Mohamadi
doaj
Which method is optimal for estimating variance components and their variability in generalizability theory? evidence form a set of unified rules for bootstrap method. [PDF]
PLoS One, 2023 Li G.
europepmc +1 more source
A Confidence Interval for Variance Components
The Annals of Mathematical Statistics, 1954 In this paper an approximate confidence interval is found for the expected value of the difference between two quantities which are independently distributed proportionally to $\chi^2$ variates. Three methods are used. The first is based on the work of Welch [13], [14] and Aspin [1], [2] on the generalized "Student's" problem, and involves neglecting ...
openaire +2 more sources
Alternative Confidence Intervals on the Sum of Variance Components in a Simple Regression Model with Unbalanced Nested Error Structure [PDF]
, 2005 Dong Joon Park, Soo Jin Lee
openalex +1 more source
Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source