Statistical assessment of functional categories of genes deregulated in pathological conditions by using microarray data | Zendy

Rosalia Maglietta | Zendy; Ada Piepoli | Zendy; Domenico Catalano | Zendy; Flavio Licciulli | Zendy; Massimo Carella | Zendy; Sabino Liuni | Zendy; Graziano Pesole | Zendy; Francesco Perri | Zendy; Nicola Ancona | Zendy

Open Access

Statistical assessment of functional categories of genes deregulated in pathological conditions by using microarray data

Author(s) -

Rosalia Maglietta,

Ada Piepoli,

Domenico Catalano,

Flavio Licciulli,

Massimo Carella,

Sabino Liuni,

Graziano Pesole,

Francesco Perri,

Nicola Ancona

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm289

Subject(s) - univariate , relevance (law) , computer science , data mining , statistical hypothesis testing , identification (biology) , microarray databases , coding (social sciences) , microarray analysis techniques , permutation (music) , computational biology , gene , statistics , biology , mathematics , gene expression , genetics , multivariate statistics , machine learning , botany , physics , political science , acoustics , law

A major challenge in current biomedical research is the identification of cellular processes deregulated in a given pathology through the analysis of gene expression profiles. To this end, predefined lists of genes, coding specific functions, are compared with a list of genes ordered according to their values of differential expression measured by suitable univariate statistics.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research