An image-based multi-label human protein subcellular localization predictor (iLocator) reveals protein mislocalizations in cancer tissues | Zendy

Ying-Ying Xu | Zendy; Fan Yang | Zendy; Yang Zhang | Zendy; Hong-Bin Shen | Zendy

Open Access

An image-based multi-label human protein subcellular localization predictor (iLocator) reveals protein mislocalizations in cancer tissues

Author(s) -

Ying-Ying Xu,

Fan Yang,

Yang Zhang,

Hong-Bin Shen

Publication year - 2013

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/btt320

Subject(s) - human protein atlas , subcellular localization , classifier (uml) , cancer , biomarker , computational biology , computer science , protein subcellular localization prediction , cellular compartment , artificial intelligence , pattern recognition (psychology) , biology , cytoplasm , protein expression , cell , microbiology and biotechnology , biochemistry , gene , genetics

Human cells are organized into compartments of different biochemical cellular processes. Having proteins appear at the right time to the correct locations in the cellular compartments is required to conduct their functions in normal cells, whereas mislocalization of proteins can result in pathological diseases, including cancer.

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