title: Exploration and statistical analysis of human gene expression annotations.
abstract: Gene expression information is a relevant resource useful to better understand gene functions. To evaluate genomic annotations sparsely available in numerous databanks accessible via Internet, we previously developed GFINDer, a Web server that performs statistical analysis of functional and phenotypic annotations of gene lists. To exploit expression information provided by eVOC ontologies, in GFINDer we integrated new modules that allow annotating and statistically analyzing user-classified human nucleotide sequences with controlled information on their expression features.
authors.affiliation: Diprtimento di Elettronica e Infromazione,Politecnico di Milano, Milan, Italy.
authors.forename: Mario
authors.initials: M
authors.lastname: Ceresa
authors.forename: Marco
authors.initials: M
authors.lastname: Masseroli
mesh_terms: D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D015870:Gene Expression; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*