Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach | Zendy

Hisashi Kashima | Zendy; Yoshihiro Yamanishi | Zendy; Tsuyoshi Kato | Zendy; Masashi Sugiyama | Zendy; Koji Tsuda | Zendy

Open Access

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach

Author(s) -

Hisashi Kashima,

Yoshihiro Yamanishi,

Tsuyoshi Kato,

Masashi Sugiyama,

Koji Tsuda

Publication year - 2009

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/btp494

Subject(s) - inference , pairwise comparison , computer science , artificial intelligence , machine learning , genome , computational biology , biological network , genomics , data mining , biology , gene , genetics

The existing supervised methods for biological network inference work on each of the networks individually based only on intra-species information such as gene expression data. We believe that it will be more effective to use genomic data and cross-species evolutionary information from different species simultaneously, rather than to use the genomic data alone.

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