SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images.

Tu, Yanlun; Lei, Houchao; Shen, Hong-Bin; Yang, Yang

Tu, Yanlun; Lei, Houchao; Shen, Hong-Bin; Yang, Yang.

Affiliation

Tu Y; Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200240 Shanghai, China.
Lei H; Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200240 Shanghai, China.
Shen HB; Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200240 Shanghai, China.
Yang Y; Institute of Image Processing and Pattern Recognition and Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, 200240 Shanghai, China.

Brief Bioinform ; 23(2)2022 03 10.

Article in En | MEDLINE | ID: mdl-35152293

Subject(s)

Neural Networks, Computer; Fluorescent Antibody Technique; Humans; Proteome; Supervised Machine Learning

Key words

microscopic images; protein subcellular localization; self-supervised learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer Type of study: Prognostic_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: China

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