A novel significance score for gene selection and ranking

A novel significance score for gene selection and ranking

MOTIVATION When identifying differentially expressed (DE) genes from high-throughput gene expression measurements, we would like to take both statistical significance (such as P-value) and biological relevance (such as fold change) into consideration. In gene set enrichment analysis (GSEA), a score that can combine fold change and P-value together is needed for better gene ranking. RESULTS We...

A novel parametric ranking method for intuitionistic fuzzy numbers

Since the inception of intuitionistic fuzzy sets in 1986, many authors have proposed different methods for ranking intuitionistic fuzzy numbers (IFNs). How ever, due to the complexity of the problem, a method which gives a satisfactory result to all situations is a challenging task. Most of them contained some shortcomings, such as requirement of complicated calculations, inconsistency with hum...

Gene selection and ranking with microarray data

Over the past decade there has been an explosion in the amount of genomic data available to biomedical researchers due to advances in biotechnology. For example, using gene microarrays, it is now possible to probe a person’s gene expression profile over the more than 30,000 genes of the human genome. Signals extracted from gene microarray experiments can be linked to genetic factors underlying ...

A novel feature selection score for text categorization

A family longevity selection score: ranking sibships by their longevity, size, and availability for study.

Family studies of exceptional longevity can potentially identify genetic and other factors contributing to long life and healthy aging. Although such studies seek families that are exceptionally long lived, they also need living members who can provide DNA and phenotype information. On the basis of these considerations, the authors developed a metric to rank families for selection into a family...