Results 41 to 50 of about 4,674,587 (322)

Parallel Coordinate Plots of Mixed-Type Data

Communications for Statistical Applications and Methods, 2008
Parallel coordinate plot of Inselberg (1985) is useful for visualizing dozens of variables, but so far the plot’s applicability is limited to the variables of numerical type. The aim of this study is to extend the parallel coordinate plot so that it can accommodate both numerical and categorical variables.
Il-Youp Kwak, Myung-Hoe Huh
openaire   +2 more sources

Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling

BMC Genomics, 2022
Background Mixed models are used to correct for confounding due to population stratification and hidden relatedness in genome-wide association studies. This class of models includes linear mixed models and generalized linear mixed models.
Maryam Onifade, Marie-Hélène Roy-Gagnon, Marie-Élise Parent, Kelly M. Burkett   +3 more
doaj   +1 more source

Existence of optimal boundary control for the Navier-Stokes equations with mixed boundary conditions [PDF]

, 2015
Variational approaches have been used successfully as a strategy to take advantage from real data measurements. In several applications, this approach gives a means to increase the accuracy of numerical simulations.
Guerra, Telma, Sequeira, Adélia, Tiago, Jorge   +2 more
core   +2 more sources

Empirical copula-based data augmentation for mixed-type datasets: a robust approach for synthetic data generation [PDF]

PeerJ Computer Science
Data augmentation is a critical technique for enhancing model performance in scenarios with limited, sparse, or imbalanced datasets. While existing methods often focus on homogeneous data types (e.g., continuous-only or categorical-only), real-world ...
Mohsen Ben Hassine, Lamine Mili
doaj   +2 more sources

GeV Analysis of Mixed Morphology Supernova Remnants Interacting with Molecular Clouds [PDF]

, 2012
The first remnants detected by the Fermi Gamma-ray Space Telescope were of the type of mixed-morphology supernova remnants interacting with molecular clouds.
Ercan, E. Nihal, Ergin, Tülün
core   +2 more sources

Clinical and Genotype Characteristics and Symptom Migration in Patients With Mixed Phenotype Transthyretin Amyloidosis from the Transthyretin Amyloidosis Outcomes Survey

Cardiology and Therapy, 2023
Introduction Transthyretin amyloidosis (ATTR amyloidosis) is primarily associated with a cardiac or neurologic phenotype, but a mixed phenotype is increasingly described.
Juan González-Moreno, Angela Dispenzieri, Martha Grogan, Teresa Coelho, Ivailo Tournev, Márcia Waddington-Cruz, Jonas Wixner, Igor Diemberger, Pablo Garcia-Pavia, Doug Chapman, Pritam Gupta, Oliver Glass, Leslie Amass, the THAOS investigators   +13 more
doaj   +1 more source

Clustering large mixed-type data with ordinal variables [PDF]

Advances in Data Analysis and Classification
Abstract One of the most frequently used algorithms for clustering data with both numeric and categorical variables is the k-prototypes algorithm, an extension of the well-known k-means clustering. Gower’s distance denotes another popular approach for dealing with mixed-type data and is suitable not only for numeric and categorical but also ...
Gero Szepannek, Rabea Aschenbruck, Adalbert Wilhelm   +2 more
openalex   +2 more sources

Toxoplasma gondii Type I, predominant genotype isolated from sheep in South of Iran [PDF]

Veterinary World, 2017
Aim: This study was performed to determine the genetic diversity of Toxoplasma gondii in sheep using nested-polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in Southern Iran.
Belal Armand, Kavous Solhjoo, Manoochehr Shabani Kordshooli, Mohammad Hasan Davami, Morteza Pourahmad, Vahideh Orfaee   +5 more
doaj   +1 more source

Subsampling and Aggregation: A Solution to the Scalability Problem in Distance-Based Prediction for Mixed-Type Data

Mathematics, 2021
The distance-based linear model (DB-LM) extends the classical linear regression to the framework of mixed-type predictors or when the only available information is a distance matrix between regressors (as it sometimes happens with big data).
Amparo Baíllo, Aurea Grané
doaj   +1 more source

A comparison of four methods for the analysis of N-of-1 trials. [PDF]

PLoS ONE, 2014
OBJECTIVE: To provide a practical guidance for the analysis of N-of-1 trials by comparing four commonly used models. METHODS: The four models, paired t-test, mixed effects model of difference, mixed effects model and meta-analysis of summary data were ...
Xinlin Chen, Pingyan Chen
doaj   +1 more source