115 related articles for article (PubMed ID: 38303420)
21. Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellular Localization.
Cao J; Liu W; He J; Gu H
PLoS One; 2013; 8(6):e67343. PubMed ID: 23840667
[TBL] [Abstract][Full Text] [Related]
22. A multi-label predictor for identifying the subcellular locations of singleplex and multiplex eukaryotic proteins.
Wang X; Li GZ
PLoS One; 2012; 7(5):e36317. PubMed ID: 22629314
[TBL] [Abstract][Full Text] [Related]
23. Predicting viral protein subcellular localization with Chou's pseudo amino acid composition and imbalance-weighted multi-label K-nearest neighbor algorithm.
Cao JZ; Liu WQ; Gu H
Protein Pept Lett; 2012 Nov; 19(11):1163-9. PubMed ID: 22185509
[TBL] [Abstract][Full Text] [Related]
24. [Prediction of protein subcellular locations by ensemble of improved K-nearest neighbor].
Xue W; Wang X; Zhao N; Yang R; Hong X
Sheng Wu Gong Cheng Xue Bao; 2017 Apr; 33(4):683-691. PubMed ID: 28920401
[TBL] [Abstract][Full Text] [Related]
25. Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction.
Xu YY; Yang F; Shen HB
Bioinformatics; 2016 Jul; 32(14):2184-92. PubMed ID: 27153655
[TBL] [Abstract][Full Text] [Related]
26. Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins.
Wan S; Mak MW; Kung SY
BMC Bioinformatics; 2016 Feb; 17():97. PubMed ID: 26911432
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based features.
Dehzangi A; Sohrabi S; Heffernan R; Sharma A; Lyons J; Paliwal K; Sattar A
BMC Bioinformatics; 2015; 16 Suppl 4(Suppl 4):S1. PubMed ID: 25734546
[TBL] [Abstract][Full Text] [Related]
30. HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source.
Wan S; Duan Y; Zou Q
Proteomics; 2017 Sep; 17(17-18):. PubMed ID: 28776938
[TBL] [Abstract][Full Text] [Related]
31. Prediction of protein subcellular localization.
Yu CS; Chen YC; Lu CH; Hwang JK
Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418
[TBL] [Abstract][Full Text] [Related]
32. Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods.
Zhang YH; Ding S; Chen L; Huang T; Cai YD
Biomed Res Int; 2022; 2022():3288527. PubMed ID: 36132086
[TBL] [Abstract][Full Text] [Related]
33. Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach.
Li L; Yu S; Xiao W; Li Y; Li M; Huang L; Zheng X; Zhou S; Yang H
Biochimie; 2014 Sep; 104():100-7. PubMed ID: 24929100
[TBL] [Abstract][Full Text] [Related]
34. Using Nearest Feature Line and Tunable Nearest Neighbor methods for prediction of protein subcellular locations.
Gao QB; Wang ZZ
Comput Biol Chem; 2005 Oct; 29(5):388-92. PubMed ID: 16213794
[TBL] [Abstract][Full Text] [Related]
35. pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.
Cheng X; Xiao X; Chou KC
Mol Biosyst; 2017 Aug; 13(9):1722-1727. PubMed ID: 28702580
[TBL] [Abstract][Full Text] [Related]
36. pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC.
Cheng X; Xiao X; Chou KC
Gene; 2017 Sep; 628():315-321. PubMed ID: 28728979
[TBL] [Abstract][Full Text] [Related]
37. MSLoc-DT: a new method for predicting the protein subcellular location of multispecies based on decision templates.
Zhang SW; Liu YF; Yu Y; Zhang TH; Fan XN
Anal Biochem; 2014 Mar; 449():164-71. PubMed ID: 24361712
[TBL] [Abstract][Full Text] [Related]
38. Identify ncRNA Subcellular Localization via Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning.
Zhou H; Wang H; Tang J; Ding Y; Guo F
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3517-3529. PubMed ID: 34432632
[TBL] [Abstract][Full Text] [Related]
39. PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial Proteins.
Lertampaiporn S; Nuannimnoi S; Vorapreeda T; Chokesajjawatee N; Visessanguan W; Thammarongtham C
Biomed Res Int; 2019; 2019():5617153. PubMed ID: 31886228
[TBL] [Abstract][Full Text] [Related]
40. CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition.
Khan A; Majid A; Hayat M
Comput Biol Chem; 2011 Aug; 35(4):218-29. PubMed ID: 21864791
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]