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Resampling reduces bias amplification in experimental social networks
Large-scale social networks are thought to contribute to polarization by amplifying people’s biases. However, the complexity of these technologies...
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Pollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA
Within the scope of this study, the compatibility of some summer apple cultivars and the possibility of their use as pollinator to each other were...
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Non-parametric and semi-parametric support estimation using SEquential RESampling random walks on biomolecular sequences
Non-parametric and semi-parametric resampling procedures are widely used to perform support estimation in computational biology and bioinformatics....
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Resampling the pool of genotypic possibilities: an adaptive function of sexual reproduction
BackgroundNatural populations harbor significant levels of genetic variability. Because of this standing genetic variation, the number of possible...
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A novel two-way rebalancing strategy for identifying carbonylation sites
BackgroundAs an irreversible post-translational modification, protein carbonylation is closely related to many diseases and aging. Protein...
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Embracing Uncertainty and Probabilistic Outcomes for Ecological Critical Loads
Species are a sensitive gauge of air quality only if the “signal” of their response to atmospheric deposition is properly distinguished from the...
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Resurvey of historical moorland plots reveals a landscape-wide increase in the occurrence of woody and non-moorland species over 90 years
Alpine and subalpine moorland communities have been altered by global warming and associated environmental changes. Vegetation changes in moorlands...
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A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare
In many healthcare applications, datasets for classification may be highly imbalanced due to the rare occurrence of target events such as disease...
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SCEPTRE improves calibration and sensitivity in single-cell CRISPR screen analysis
Single-cell CRISPR screens are a promising biotechnology for map** regulatory elements to target genes at genome-wide scale. However, technical...
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Fast estimation and choice of confidence interval methods for step regression
In this paper we propose a new fast grid search algorithm for finding the least square estimators of a step regression model. This algorithm makes it...
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Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods
Non-invasive detection of human papillomavirus (HPV) status is important for the treatment planning of patients with oropharyngeal cancer (OPC). In...
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Performance evaluate of different chemometrics formalisms used for prostate cancer diagnosis by NMR-based metabolomics
IntroductionIn general, two characteristics are ever present in NMR-based metabolomics studies: (1) they are assays aiming to classify the samples in...
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Multivariate pattern analysis: a method and software to reveal, quantify, and visualize predictive association patterns in multicollinear data
BackgroundStrongly multicollinear covariates, such as those typically represented in metabolomics applications, represent a challenge for...
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Meteorological Factor-Based Tomato Early Blight Prediction Using Hyperparameter Tuning of Intelligent Classifiers
Early blight is a severe disease which affects several plant species, including tomato plants. Weather parameters such as temperature, leaf wetness,...
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Resting-state fractal brain connectivity is associated with impaired cognitive performance in healthy aging
Aging affects cognitive functions even in the absence of ongoing pathologies. The neurophysiological basis of age-related cognitive decline (CD),...
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Effective hybrid feature selection using different bootstrap enhances cancers classification performance
BackgroundMachine learning can be used to predict the different onset of human cancers. Highly dimensional data have enormous, complicated problems....
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Effect of sample size on prognostic genes analysis in non-small cell lung cancer
The identification of prognostic genes can help in the clinical management of non-small cell lung cancer (NSCLC). However, there is little overlap in...
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Evaluation of the Incidence of Banana Wilt and its Relationship with Soil Properties
The incidence of “Cavendish” banana wilt (BW) caused by a fungal-bacterial complex is characterized by progressive wilting, rapid spread, and violent...
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Impacts of climate change on the global distribution of Cyclocarya paliurus
Climate change is significantly affecting the distribution of plants worldwide. Cyclocarya paliurus (Batal.) Il**sk. ( Juglandaceae ), a rare...
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Endoscopy-based IBD identification by a quantized deep learning pipeline
BackgroundDiscrimination between patients affected by inflammatory bowel diseases and healthy controls on the basis of endoscopic imaging is an...
