Results 241 to 250 of about 24,365,275 (295)
FEBS Open Bio, EarlyView.Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada +7 more
wiley +1 more source
FEBS Open Bio, EarlyView.TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao +10 more
wiley +1 more source
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Feature wise normalization: An effective way of normalizing data
Pattern Recognition, 2022Abstract This paper presents a novel Feature Wise Normalization approach for the effective normalization of data. In this approach, each feature is normalized independently with one of the methods from the pool of normalization methods. It is in contrast to the conventional approach which normalizes the data with one method only and as a result ...
Birmohan Singh, Dalwinder Singh
exaly +2 more sources
2022
This chapter reviews the author’s experience of being a participant in psychological experiments, which determines how, with such an obstreperous subject, researchers get results. Being able to disregard erratic responses depends on having enough subjects, as the more subjects there are, the easier it is to designate some responses as unusable and ...
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This chapter reviews the author’s experience of being a participant in psychological experiments, which determines how, with such an obstreperous subject, researchers get results. Being able to disregard erratic responses depends on having enough subjects, as the more subjects there are, the easier it is to designate some responses as unusable and ...
+4 more sources
Evolvable warps for data normalization
2016 IEEE Congress on Evolutionary Computation (CEC), 2016The traditional method of fitting an approximate cumulative probability distribution to a data set is to bin the data in narrow bins and obtain a step function approximation. This technique suffices for many applications, but the resulting object is not a differentiable function making recovery of the underlying probability distribution function ...
Jeremy Gilbert, Daniel A. Ashlock
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Normalizing and Integrating Metabolomics Data
Analytical Chemistry, 2012Metabolomics research often requires the use of multiple analytical platforms, batches of samples, and laboratories, any of which can introduce a component of unwanted variation. In addition, every experiment is subject to within-platform and other experimental variation, which often includes unwanted biological variation.
De Livera, AM +8 more
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Self‐normalization for Spatial Data
Scandinavian Journal of Statistics, 2013ABSTRACTThis paper considers inference for both spatial lattice data with possibly irregularly shaped sampling region and non‐lattice data, by extending the recently proposed self‐normalization (SN) approach from stationary time series to the spatial setup.
Zhang, Xianyang, Li, Bo, Shao, Xiaofeng
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Procedure to Normalize Data for Benchmarking
Respiratory Care, 2006The hospital billing system is usually the source for reporting activity counts used in benchmarking efforts. Because billing is associated with a specific procedure, benchmarking data are often reported as procedure-days, procedure-shifts, or procedure-hours.
Robert L, Chatburn, Richard M, Ford
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Microarray data normalization and transformation
Nature Genetics, 2002Underlying every microarray experiment is an experimental question that one would like to address. Finding a useful and satisfactory answer relies on careful experimental design and the use of a variety of data-mining tools to explore the relationships between genes or reveal patterns of expression.
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Correctness Criteria for Normalization of Semistructured Data
19th Australian Conference on Software Engineering (aswec 2008), 2008The rapid increase in semistructured data usage has lead to the development of various database systems for semistructured data. Web services and applications that utilize large amounts of semistructured data require data to remain consistent and be stored efficient.
Lee, Scott Uk-Jin +4 more
openaire +3 more sources