Results 101 to 110 of about 44,596,160 (284)
Classification, (Big) Data Analysis and Statistical Learning
, 2018 This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of ...
Serena Signorelli, et al. +6 more
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FEBS Letters, EarlyView.Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
MathematicsThe paper develops an innovatively adaptive bi-level variable selection methodology for quantile regression models with a diverging number of covariates.
Xianwen Ding, Zhihuang Yang
doaj +1 more source
A Randomly Guided Firefly Algorithm Based on Elitist Strategy and its Applications
IEEE Access, 2019 Firefly algorithm (FA) is one of the swarm intelligence algorithms, which is proposed by Yang in 2008. The standard FA has some disadvantages, such as high computational time complexity, slow convergence speed and so on.
Chunfeng Wang, Kui Liu
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
The Statistical Analysis of Compositional Data
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1982 Summary The simplex plays an important role as sample space in many practical situations where compositional data, in the form of proportions of some whole, require interpretation. It is argued that the statistical analysis of such data has proved difficult because of a lack both of concepts of independence and of rich enough parametric ...
openaire +2 more sources
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Raw data- Statistical analysis
, 2020 Raw data- Statistical analysis. Galanin (GAL) and Neuropeptide Y (NPY) elicit antidepressant activity linked to neuronal precursor cells of the dentate gyrus in the ventral hippocampus through GAL 2/NPY Y1 receptor ...
Narváez, M (via Mendeley Data)
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Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Statistical Aggregation in Massive Data Environment
, 2014 Due to their size and complexity, massive data sets bring many computational challenges for statistical analysis, such as overcoming the memory limitation and improving computational efficiency of traditional statistical methods.
Lin, Nan
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