Consistency and variation of protein subcellular location annotations-Reference-Cited by-同舟云学术

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Consistency and variation of protein subcellular location annotations

Published:2020-09-26 Issue:2 Volume:89 Page:242-250
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Xu Ying‐Ying¹²³^ORCID,Zhou Hang²,Murphy Robert F.³,Shen Hong‐Bin²

Affiliation:

1. School of Biomedical Engineering Southern Medical University Guangzhou China

2. Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

3. Computational Biology Department Carnegie Mellon University Pittsburgh Pennsylvania USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

NIH Clinical Center

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.26010

Reference33 articles.

1. Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers

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

3. Lugo‐MartinezJ DengjelJ Bar‐JosephZ MurphyRF.Integration of Heterogeneous Experimental Data Improves Global Map of Human Protein Complexes. Paper presented at: Proceedings of the 10th ACM International Conference on Bioinformatics Computational Biology and Health Informatics;2019:144–153.

4. CellMap visualizes protein‐protein interactions and subcellular localization;Dallago C;F1000 Res,2017

5. Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images;Xu Y;Bioinformatics,2019

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2. Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations;2024-06-02

3. GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images;Bioinformatics;2022-09-16

4. Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics;Frontiers in Bioinformatics;2022-05-19

5. Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks;Briefings in Bioinformatics;2022-01-09

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