Small Sample Feature Selection. (May 2006) Chao Sima, B.Eng., Xi’an Jiaotong University Chair of Advisory Committee: Dr. Edward R. Dougherty High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; however, high dimensionality together with small samples creates the need for feature selectio...

background and purpose: responsibility among adolescents is of great significance, and families can influence sense of responsibility by creating purpose in life and developing social competence. herein, we aimed to investigate the structural model of the relationship of family functioning and social competence with sense of responsibility and mediating role of purpose in life in this relations...

In this study, we propose a new feature (or gene) selection algorithm using Bayes classification approach. The algorithm can find gene subset crucial for cancer classification problem. Problem statement: Gene identification plays important role in human cancer classification problem. Several feature selection algorithms have been proposed for analyzing and understanding influential genes using ...

heat shock proteins (hsps), are highly important due to their association with such economically important traits in animals as resistance to temperature shock and mastitis. in the current study, to get a comprehensive information on molecular structure and evolution of the hsp70s, and the available hsp70 sequences of the cattle and other animals taken from ncbi and aligned together. then, nucl...

A simulation study was performed to see whether selection affected quantitative trait loci (QTL) mapping. Populations under random selection, under selection among full-sib families, and under selection within a full-sib family were simulated each with heritability of 0.3, 0.5, and 0.7. They were analyzed with the marker spacing of 10 cM and 20 cM. The accuracy for QTL detection decreased for t...

Selection plans in plant and animal breeding are driven by genetic evaluation. Recent developments suggest using massive genetic marker information, known as "genomic selection." There is little evidence of its performance, though. We empirically compared three strategies for selection: (1) use of pedigree and phenotypic information, (2) use of genomewide markers and phenotypic information, and...

Predicted genetic gains of polymix, cloned polymix, full-sib and cloned full-sib testing and selection options for a breeding population were estimated for Pinus taeda L. Heritabilities for volume from the clonal testing were considerably greater than the heritabilities from the seedling testing. Cloned options had higher expected genetic gains than seedling options, even after adjusting for th...