A genomic random interval model for statistical analysis of genomic lesion data | Zendy

Stanley Pounds | Zendy; Cheng Cheng | Zendy; Shaoyu Li | Zendy; Zhifa Liu | Zendy; Jinghui Zhang | Zendy; Charles G. Mullighan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A genomic random interval model for statistical analysis of genomic lesion data

Author(s) -

Stanley Pounds,

Cheng Cheng,

Shaoyu Li,

Zhifa Liu,

Jinghui Zhang,

Charles G. Mullighan

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt372

Subject(s) - computational biology , locus (genetics) , biology , random permutation , genetics , gene , mathematics , combinatorics , block (permutation group theory)

Tumors exhibit numerous genomic lesions such as copy number variations, structural variations and sequence variations. It is difficult to determine whether a specific constellation of lesions observed across a cohort of multiple tumors provides statistically significant evidence that the lesions target a set of genes that may be located across different chromosomes but yet are all involved in a single specific biological process or function.

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