Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images | Zendy

Yingying Xu | Zendy; HongBin Shen | Zendy; Robert F. Murphy | Zendy

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Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images

Author(s) -

Yingying Xu,

HongBin Shen,

Robert F. Murphy

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/btz844

Subject(s) - human protein atlas , subcellular localization , proteomics , protein subcellular localization prediction , computer science , source code , computational biology , similarity (geometry) , biology , pattern recognition (psychology) , protein expression , artificial intelligence , cytoplasm , image (mathematics) , gene , biochemistry , operating system

Systematic and comprehensive analysis of protein subcellular location as a critical part of proteomics ('location proteomics') has been studied for many years, but annotating protein subcellular locations and understanding variation of the location patterns across various cell types and states is still challenging.

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