JOURNAL ARTICLE

A CONSISTENT VARIABLE SELECTION CRITERION FOR LINEAR MODELS WITH HIGH-DIMENSIONAL COVARIATES

Abstract

To evaluate whether canine bone marrow stromal cells (BMSCs) can migrate and adopt neural phenotypes in the developing mouse brain we transplanted fluorescently labeled BMSCs into the lateral ventricle of immunocompromised neonatal mice. Most fibroblasts, used as a control, and BMSCs isolated from adult dogs remained around the injection site and exhibited a spindle-shaped appearance. A small number of BMSCs from young dogs were found in the subventricular zone, rostral migratory stream, and olfactory bulbs, and retained expression of neuron marker. Our findings suggest that BMSCs isolated from adult dogs have limited ability of migration and differentiation toward neural cells in the developing brain. Bone marrow of young dogs may contain a primitive stem cell population with neural differentiation capacity.

Keywords:
Covariate Mathematics Autoregressive model Statistics Selection (genetic algorithm) Model selection Feature selection Linear regression Econometrics Computer science Artificial intelligence

Metrics

27
Cited By
0.90
FWCI (Field Weighted Citation Impact)
28
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Optimal Experimental Design Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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