mirPLS: a partial linear structure identifier method for cancer subtyping using microRNAs | Zendy

Peifeng Ruan | Zendy; Shuang Wang | Zendy; Hua Liang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

mirPLS: a partial linear structure identifier method for cancer subtyping using microRNAs

Author(s) -

Peifeng Ruan,

Shuang Wang,

Hua Liang

Publication year - 2020

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/btaa606

Subject(s) - subtyping , identifier , computer science , cancer , microrna , computational biology , biology , computer network , programming language , genetics , gene

MicroRNAs (miRNAs) are small non-coding RNAs that have been successfully identified to be differentially expressed in various cancers. However, some miRNAs were reported to be up-regulated in one subtype of a cancer but down-regulated in another, making overall associations between these miRNAs and the heterogeneous cancer non-linear. These non-linearly associated miRNAs, if identified, are thus informative for cancer subtyping.

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