Article Commentary: Rough Set Soft Computing Cancer Classification and Network: One Stone, Two Birds | Zendy

Yue Zhang | Zendy

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Article Commentary: Rough Set Soft Computing Cancer Classification and Network: One Stone, Two Birds

Author(s) -

Yue Zhang

Publication year - 2010

Publication title -

cancer informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.606

H-Index - 31

ISSN - 1176-9351

DOI - 10.4137/cin.s4874

Subject(s) - rough set , feature selection , soft computing , computer science , gene selection , profiling (computer programming) , informatics , data mining , gene regulatory network , computational biology , artificial neural network , bioinformatics , gene , data science , artificial intelligence , biology , gene expression , genetics , engineering , microarray analysis techniques , electrical engineering , operating system

Gene expression profiling provides tremendous information to help unravel the complexity of cancer. The selection of the most informative genes from huge noise for cancer classification has taken centre stage, along with predicting the function of such identified genes and the construction of direct gene regulatory networks at different system levels with a tuneable parameter. A new study by Wang and Gotoh described a novel Variable Precision Rough Sets-rooted robust soft computing method to successfully address these problems and has yielded some new insights. The significance of this progress and its perspectives will be discussed in this article.

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