Bioimage-based protein subcellular location prediction: a comprehensive review

Frontiers of Computer Science

Volumn 12, Issue 1, 2018, Pages 26-39

  Xu, Ying Ying ^a,b   Yao, Li Xiu ^a,b   Shen, Hong Bin ^a,b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

bioimage informatics; global and local features; multi location protein recognition; protein subcellular location prediction

Indexed keywords

CLASSIFICATION (OF INFORMATION); FORECASTING; IMAGING TECHNIQUES; LOCATION;

BIOIMAGE INFORMATICS; CLASSIFICATION METHODS; DYNAMIC CHARACTERISTICS; LOCAL FEATURE; PROTEIN DISTRIBUTIONS; PROTEIN RECOGNITION; PROTEIN SUBCELLULAR LOCATION; SUBCELLULAR LOCALIZATIONS;

PROTEINS;

EID: 85019605650     PISSN: 20952228     EISSN: 20952236     Source Type: Journal    
DOI: 10.1007/s11704-016-6309-5     Document Type: Review

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