title: RankGene: identification of diagnostic genes based on expression data.
abstract: RankGene is a program for analyzing gene expression data and computing diagnostic genes based on their predictive power in distinguishing between different types of samples. The program integrates into one system a variety of popular ranking criteria, ranging from the traditional t-statistic to one-dimensional support vector machines. This flexibility makes RankGene a useful tool in gene expression analysis and feature selection.
authors.affiliation: Bioinformatics Program, Boston University, Boston, MA 02215, USA.
authors.forename: Yang
authors.initials: Y
authors.lastname: Su
authors.forename: T M
authors.initials: TM
authors.lastname: Murali
authors.forename: Vladimir
authors.initials: V
authors.lastname: Pavlovic
authors.forename: Michael
authors.initials: M
authors.lastname: Schaffer
authors.forename: Simon
authors.initials: S
authors.lastname: Kasif
mesh_terms: D000465:Algorithms; D004247:DNA / Q000145:classification; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000235:genetics*; D005819:Genetic Markers / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000145:classification / Q000235:genetics; D005820:Genetic Testing / Q000379:methods*; D008957:Models, Genetic; D015233:Models, Statistical; D012984:Software; D014584:User-Computer Interface
chemical_list: D005819:Genetic Markers; D004247:DNA