Results 51 to 60 of about 762,252 (305)

Confounding factors used in multivariate analysis.

, 2016
Confounding factors used in multivariate analysis.
Guangping Li (2261341), Zhiwei Zhang (12077), Chee Yuan Ng (3172326), Jiao Li (261359), Tong Liu (107783), Yajuan Yang (3172323)   +5 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Comparing the Accuracy of Soil Moisture Estimates Derived from Bulk and Energy-Resolved Gamma Radiation Measurements

Sensors
Monitoring soil moisture (SM) using permanently installed gamma radiation (GR) detectors is a promising non-invasive method based on the inverse relationship between SM and soil-emitted GR.
Sonia Akter, Johan Alexander Huisman, Heye Reemt Bogena   +2 more
doaj   +1 more source

Results after adjusting for potential confounding factors.

, 2012
Results after adjusting for potential confounding factors.
Shuo Wu (116238), Yanxun Liu (116240), Zhenxin Zhu (116236), Haiyan Lin (116227), Dongzhi Zhang (116230), Yongyuan Zhang (116233), Wenjia Meng (116221), Xiaowei Yang (116246), Chengqi Zhang (116222), Fuzhong Xue (116249), Fang Tang (116243), Qian Zhang (49333), Xinhong Song (116224)   +12 more
core   +1 more source

Iron Metabolism in Children: Confounding Factors [PDF]

Food and Nutrition Bulletin, 2007
Characterization of iron metabolism in infants and children may be confounded by the diverse effects of developmental, genetic, and acquired influences on iron metabolism and laboratory measurements of iron status, especially in areas with intense perennial transmission of Plasmodium falciparum malaria.
openaire   +2 more sources

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Commentary: BRAIN NETWORKS. Correlated Gene Expression Supports Synchronous Activity in Brain Networks. Science 348, 1241–4

Frontiers in Neuroscience, 2017
A recent report claims that functional brain networks defined with resting-state functional magnetic resonance imaging (fMRI) can be recapitulated with correlated gene expression (i.e., high within-network tissue-tissue “strength fraction,” SF ...
Spiro P. Pantazatos, Spiro P. Pantazatos, Xinyi Li   +2 more
doaj   +1 more source

CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

Genome Biology, 2021
Clustering of joint single-cell RNA-Seq (scRNA-Seq) data is often challenged by confounding factors, such as batch effects and biologically relevant variability.
Zhiyuan Hu, Ahmed A. Ahmed, Christopher Yau   +2 more
doaj   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

Subgroup meta-analyses based on confounding factors.

, 2015
*: The Examination Score SMD of “Laboratory course” subgroup is higher than “theory course” subgroup ...
Liang Zhou (85586), Xiaoyu Liu (206872), Zengwei Zhao (714562), Ling Liu (143030), Dong Yi (511609), Yanqi Zhang (112987), Yazhou Wu (511606), Dali Yi (714563)   +7 more
core   +1 more source