These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
137 related articles for article (PubMed ID: 37664182)
1. HAR_Locator: a novel protein subcellular location prediction model of immunohistochemistry images based on hybrid attention modules and residual units. Zou K; Wang S; Wang Z; Zhang Z; Yang F Front Mol Biosci; 2023; 10():1171429. PubMed ID: 37664182 [No Abstract] [Full Text] [Related]
2. MIC_Locator: a novel image-based protein subcellular location multi-label prediction model based on multi-scale monogenic signal representation and intensity encoding strategy. Yang F; Liu Y; Wang Y; Yin Z; Yang Z BMC Bioinformatics; 2019 Oct; 20(1):522. PubMed ID: 31655541 [TBL] [Abstract][Full Text] [Related]
3. Multi-scale deep learning for the imbalanced multi-label protein subcellular localization prediction based on immunohistochemistry images. Wang F; Wei L Bioinformatics; 2022 Apr; 38(9):2602-2611. PubMed ID: 35212728 [TBL] [Abstract][Full Text] [Related]
4. Dual-Signal Feature Spaces Map Protein Subcellular Locations Based on Immunohistochemistry Image and Protein Sequence. Zou K; Wang S; Wang Z; Zou H; Yang F Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005402 [TBL] [Abstract][Full Text] [Related]
5. ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images. Long W; Yang Y; Shen HB Bioinformatics; 2020 Apr; 36(7):2244-2250. PubMed ID: 31804670 [TBL] [Abstract][Full Text] [Related]
6. Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks. Wang G; Xue MQ; Shen HB; Xu YY Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35018423 [TBL] [Abstract][Full Text] [Related]
7. Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks. Liu GH; Zhang BW; Qian G; Wang B; Mao B; Bichindaritz I IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(6):1966-1980. PubMed ID: 31107658 [TBL] [Abstract][Full Text] [Related]
8. Incorporating label correlations into deep neural networks to classify protein subcellular location patterns in immunohistochemistry images. Hu JX; Yang Y; Xu YY; Shen HB Proteins; 2022 Feb; 90(2):493-503. PubMed ID: 34546597 [TBL] [Abstract][Full Text] [Related]
9. Many local pattern texture features: which is better for image-based multilabel human protein subcellular localization classification? Yang F; Xu YY; Shen HB ScientificWorldJournal; 2014; 2014():429049. PubMed ID: 25050396 [TBL] [Abstract][Full Text] [Related]
10. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images. Dabass M; Vashisth S; Vig R Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654 [TBL] [Abstract][Full Text] [Related]
11. Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer. Xue ZZ; Wu Y; Gao QZ; Zhao L; Xu YY BMC Bioinformatics; 2020 Sep; 21(1):398. PubMed ID: 32907537 [TBL] [Abstract][Full Text] [Related]
12. Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier. Zhang Q; Zhang Y; Li S; Han Y; Jin S; Gu H; Yu B Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33537726 [TBL] [Abstract][Full Text] [Related]
13. Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features. Li B; Cai L; Liao B; Fu X; Bing P; Yang J Molecules; 2019 Mar; 24(5):. PubMed ID: 30845684 [TBL] [Abstract][Full Text] [Related]
14. Automatic recognition of protein subcellular location patterns in single cells from immunofluorescence images based on deep learning. Zhu XL; Bao LX; Xue MQ; Xu YY Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36577448 [TBL] [Abstract][Full Text] [Related]
15. Multiple Protein Subcellular Locations Prediction Based on Deep Convolutional Neural Networks with Self-Attention Mechanism. Cong H; Liu H; Cao Y; Chen Y; Liang C Interdiscip Sci; 2022 Jun; 14(2):421-438. PubMed ID: 35066812 [TBL] [Abstract][Full Text] [Related]
16. GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images. Hu JX; Yang Y; Xu YY; Shen HB Bioinformatics; 2022 Oct; 38(21):4941-4948. PubMed ID: 36111875 [TBL] [Abstract][Full Text] [Related]
17. LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion. Feng S; Liang Y; Du W; Lv W; Li Y Int J Mol Sci; 2020 Oct; 21(19):. PubMed ID: 33019721 [TBL] [Abstract][Full Text] [Related]
18. SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images. Tu Y; Lei H; Shen HB; Yang Y Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35152293 [TBL] [Abstract][Full Text] [Related]
19. Enhancing membrane protein subcellular localization prediction by parallel fusion of multi-view features. Yu D; Wu X; Shen H; Yang J; Tang Z; Qi Y; Yang J IEEE Trans Nanobioscience; 2012 Dec; 11(4):375-85. PubMed ID: 22875262 [TBL] [Abstract][Full Text] [Related]
20. Gene ontology based transfer learning for protein subcellular localization. Mei S; Fei W; Zhou S BMC Bioinformatics; 2011 Feb; 12():44. PubMed ID: 21284890 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]