Results 31 to 40 of about 1,065,726 (286)
ASCA: analysis of multivariate data obtained from an experimental design [PDF]
Recently analysis of variance (ANOVA)-simultaneous component analysis (ASCA) has been introduced as an explorative tool for the analysis of multivariate data with an underlying experimental design [Smilde et al. Bioinformatics 2005; 21: 3043-3048].
Timmerman, M.E.; id_orcid +15 more
core +1 more source
Comparative Metabolomics Analysis of Weedy Rice (Oryza spp.) across Peninsular Malaysia
Weedy rice (Oryza spp.) is a notorious weed that invades paddy fields and hampers the rice’s production and yield quality; thus, it has become a major problem for rice farmers worldwide. Weedy rice comprises a diverse morphology and phenotypic variation;
Intan Filzah Mahmod +5 more
doaj +1 more source
Analysis of multivariate skew normal models with incomplete data [PDF]
We establish computationally flexible methods and algorithms for the analysis of multivariate skew normal models when missing values occur in the data.
林宗儀 +3 more
core +1 more source
A whitening approach to probabilistic canonical correlation analysis for omics data integration
Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance.
Takoua Jendoubi, Korbinian Strimmer
doaj +1 more source
Modeling of Biomass Gasification: From Thermodynamics to Process Simulations
Biomass gasification has obtained great interest over the last few decades as an effective and trustable technology to produce energy and fuels with net-zero carbon emissions.
Vera Marcantonio +3 more
doaj +1 more source
MultivariateAnalysis: um pacote R para análise multivariada.
Statistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for simultaneous data handling. Multivariate analyses are typically
Ana Luíza Medrado Monteiro +1 more
doaj +1 more source
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source
A co-analysis framework for exploring multivariate scientific data
In complex multivariate data sets, different features usually include diverse associations with different variables, and different variables are associated within different regions.
Xiangyang He +3 more
doaj +1 more source
Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source
Applied Multivariate Research, v.13 no.1 (complete version) [PDF]
The first issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.Multivariate models for three dimensional data / James W ...
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