Results 61 to 70 of about 1,327,683 (276)
Cross-Validation With Confidence [PDF]
Journal of the American Statistical Association, 2019 Cross-validation is one of the most popular model selection methods in statistics and machine learning. Despite its wide applicability, traditional cross validation methods tend to select overfitting models, due to the ignorance of the uncertainty in the testing sample. We develop a new, statistically principled inference tool based on cross-validation
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FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Frontiers in PsychiatryIntroductionThe Community Assessment of Psychic Experiences (CAPE-42) is a reliable tool to assess psychotic experiences (PEs) in clinical and non-clinical populations, in research and clinical settings.MethodsTo investigate cultural differences in PEs ...
Laurina Fazioli +8 more
doaj +1 more source
Comparison of the Efficiency of BLUP and GBLUP in Genomic Prediction of Immune Traits in Chickens
Animals, 2020 : Poultry diseases pose a large threat to poultry production. Selection to improve immune traits is a feasible way to prevent and control avian diseases.
Jin Zhang +5 more
doaj +1 more source
Multiplicative local linear hazard estimation and best one-sided cross-validation [PDF]
, 2017 This paper develops detailed mathematical statistical theory of a new class of cross-validation techniques of local linear kernel hazards and their multiplicative bias corrections.
Gámiz Pérez, M. L. +2 more
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Cross-validated bagged learning
Journal of Multivariate Analysis, 2007 Many applications aim to learn a high dimensional parameter of a data generating distribution based on a sample of independent and identically distributed observations. For example, the goal might be to estimate the conditional mean of an outcome given a list of input variables.
Petersen, Maya L. +3 more
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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
Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE
IJAIN (International Journal of Advances in Intelligent Informatics)Parkinson's disease is one of the major neurodegenerative diseases that affect the central nervous system, often leading to motor and cognitive impairments in affected individuals.
Jumanto Unjung +6 more
doaj +1 more source
Construction and evaluation of classifiers for forensic document analysis
, 2011 In this study we illustrate a statistical approach to questioned document examination. Specifically, we consider the construction of three classifiers that predict the writer of a sample document based on categorical data.
Davis, Linda J. +4 more
core +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 +3 more
wiley +1 more source