ezGeno: an automatic model selection package for genomic data analysis | Zendy

Jun-Liang Lin | Zendy; Tsung-Ting Hsieh | Zendy; YiAn Tung | Zendy; Xuan-Jun Chen | Zendy; Yu-Chun Hsiao | Zendy; Chia-Lin Yang | Zendy; Tyng-Luh Liu | Zendy; ChienYu Chen | Zendy

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ezGeno: an automatic model selection package for genomic data analysis

Author(s) -

Jun-Liang Lin,

Tsung-Ting Hsieh,

YiAn Tung,

Xuan-Jun Chen,

Yu-Chun Hsiao,

Chia-Lin Yang,

Tyng-Luh Liu,

ChienYu Chen

Publication year - 2021

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/btab588

Subject(s) - r package , computer science , selection (genetic algorithm) , model selection , software package , genomic selection , software , data mining , artificial intelligence , computational biology , programming language , biology , genetics , genotype , single nucleotide polymorphism , gene

To facilitate the process of tailor-making a deep neural network for exploring the dynamics of genomic DNA, we have developed a hands-on package called ezGeno. ezGeno automates the search process of various parameters and network structures and can be applied to any kind of 1D genomic data. Combinations of multiple abovementioned 1D features are also applicable.

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