Results 51 to 60 of about 26,331 (262)

Fully moderated t-statistic in linear modeling of mixed effects for differential expression analysis

open access: yesBMC Bioinformatics, 2019
Background Gene expression profiling experiments with few replicates lead to great variability in the estimates of gene variances. Toward this end, several moderated t-test methods have been developed to reduce this variability and to increase power for ...
Lianbo Yu   +3 more
doaj   +1 more source

Hierarchical Bayes models for cDNA microarray gene expression [PDF]

open access: yesBiostatistics, 2005
cDNA microarrays are used in many contexts to compare mRNA levels between samples of cells. Microarray experiments typically give us expression measurements on 1000-20 000 genes, but with few replicates for each gene. Traditional methods using means and standard deviations to detect differential expression are not satisfactory in this context.
Lönnstedt, Ingrid, Britton, Tom
openaire   +2 more sources

Nano‐Confined Radical Anion as An NIR‐II Photothermal Immunogenic Amplifier for In Situ Cancer Vaccination

open access: yesAdvanced Science, EarlyView.
A nano‐confined radical anion acts as a photothermal immunogenic amplifier. Kinetically stabilized nanoparticles couple high near‐infrared‐II (NIR‐II) photothermal efficacy with glutathione (GSH) depletion to boost reactive oxygen species (ROS) and immunogenic cell death (ICD).
Mengxin Mu   +9 more
wiley   +1 more source

Comparação bayesiana de modelos de previsão de diferenças esperadas nas progênies no melhoramento genético de gado Nelore Bayesian comparison of forecasting models to expected progenies difference in Nelore cattle genetic breeding

open access: yesPesquisa Agropecuária Brasileira, 2008
O objetivo deste trabalho foi realizar uma análise bayesiana de modelos auto-regressivos de ordem p, AR(p), para dados em painel referentes às diferenças esperadas nas progênies (DEP) de touros da raça Nelore publicados de 2000 a 2006.
Fabyano Fonseca e Silva   +4 more
doaj   +1 more source

Empirical Bayes and Hierarchical Bayes Estimation of Skew Normal Populations

open access: yesCommunications in Statistics - Theory and Methods, 2008
We develop empirical and hierarchical Bayesian methodologies for the skew normal populations through the EM algorithm and the Gibbs sampler. A general concept of skewness to the normal distribution is considered throughout. Motivations are given for considering the skew normal population in applications, and an example is presented to demonstrate why ...
Bansal, Naveen K.   +2 more
openaire   +2 more sources

Thermally Driven Supramolecular Chirality Evolution in Low‐Bandgap Fused‐Ring Conjugated Molecules for High‐Performance NIR Circularly Polarized Light Detection

open access: yesAdvanced Science, EarlyView.
A supramolecular chirality evolution strategy in chiral low‐bandgap fused‐ring conjugated molecules enables high‐performance near‐infrared (NIR) circularly polarized light photodetection. Halogen substitution and thermal annealing induce chiral amplification and hierarchical ordering. Integrated into Schottky barrier vertical transistors, the optimized
Jaeyong Ahn   +6 more
wiley   +1 more source

Neural networks and damage pattern recognition in power transformer diagnostics [PDF]

open access: yesE3S Web of Conferences
The results of detecting deformations and damage of power transformer windings using the transformer Frequency Response Analysis (SFRA) are presented taking into account RG CIGRE A2.26, Standard IEC 60076-18, Standard IEEE C57.149.
Khrennikov Alexander   +3 more
doaj   +1 more source

A Pancreatitis‐Inspired Trypsinogen Nanoplatform Reprograms Tumor‐Associated Macrophages via NF‐κB for Pancreatic Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Trypsinogen‐loaded nanoparticles reprogram TAMs via NF‐κB/NLRP3, driving M2→M1 conversion and potent phagocytosis to unleash antitumor immunity. ABSTRACT Although reprogramming tumor‐associated macrophages (TAMs) represents a promising therapeutic strategy, approaches that are both precise and safe remain scarce.
Lei Cao   +7 more
wiley   +1 more source

A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors

open access: yesSensors, 2014
Activity recognition for the purposes of recognizing a user’s intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone.
Manhyung Han   +4 more
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

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