MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters | Zendy

Meng Zhang | Zendy; Fuyi Li | Zendy; Tatiana T. MarquezLago | Zendy; André Leier | Zendy; Cunshuo Fan | Zendy; Chee Keong Kwoh | Zendy; KuoChen Chou | Zendy; Jiangning Song | Zendy; Cangzhi Jia | Zendy

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MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters

Author(s) -

Meng Zhang,

Fuyi Li,

Tatiana T. MarquezLago,

André Leier,

Cunshuo Fan,

Chee Keong Kwoh,

KuoChen Chou,

Jiangning Song,

Cangzhi Jia

Publication year - 2019

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/btz016

Subject(s) - promoter , benchmarking , computer science , benchmark (surveying) , feature (linguistics) , feature selection , jackknife resampling , data mining , computational biology , artificial intelligence , machine learning , biology , gene , genetics , mathematics , statistics , gene expression , linguistics , philosophy , geodesy , marketing , estimator , business , geography

Promoters are short DNA consensus sequences that are localized proximal to the transcription start sites of genes, allowing transcription initiation of particular genes. However, the precise prediction of promoters remains a challenging task because individual promoters often differ from the consensus at one or more positions.

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