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.
186 related articles for article (PubMed ID: 37095510)
41. Multi-view L2-SVM and its multi-view core vector machine. Huang C; Chung FL; Wang S Neural Netw; 2016 Mar; 75():110-25. PubMed ID: 26773824 [TBL] [Abstract][Full Text] [Related]
42. Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique. Wei L; Xing P; Shi G; Ji Z; Zou Q IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1264-1273. PubMed ID: 28222000 [TBL] [Abstract][Full Text] [Related]
43. PRMxAI: protein arginine methylation sites prediction based on amino acid spatial distribution using explainable artificial intelligence. Khandelwal M; Rout RK BMC Bioinformatics; 2023 Oct; 24(1):376. PubMed ID: 37794362 [TBL] [Abstract][Full Text] [Related]
44. iPseU-TWSVM: Identification of RNA pseudouridine sites based on TWSVM. Chen M; Zhang X; Ju Y; Liu Q; Ding Y Math Biosci Eng; 2022 Sep; 19(12):13829-13850. PubMed ID: 36654069 [TBL] [Abstract][Full Text] [Related]
45. Identification of D Modification Sites by Integrating Heterogeneous Features in Feng P; Xu Z; Yang H; Lv H; Ding H; Liu L Molecules; 2019 Jan; 24(3):. PubMed ID: 30678171 [TBL] [Abstract][Full Text] [Related]
46. A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts. Schneider HW; Raiol T; Brigido MM; Walter MEMT; Stadler PF BMC Genomics; 2017 Oct; 18(1):804. PubMed ID: 29047334 [TBL] [Abstract][Full Text] [Related]
47. Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. Hasan MM; Basith S; Khatun MS; Lee G; Manavalan B; Kurata H Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32910169 [TBL] [Abstract][Full Text] [Related]
48. MultiMiTar: a novel multi objective optimization based miRNA-target prediction method. Mitra R; Bandyopadhyay S PLoS One; 2011; 6(9):e24583. PubMed ID: 21949731 [TBL] [Abstract][Full Text] [Related]
49. Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree. Zhang S; Yao Y; Wang J; Liang Y Anal Biochem; 2022 Sep; 652():114746. PubMed ID: 35609687 [TBL] [Abstract][Full Text] [Related]
50. ATGPred-FL: sequence-based prediction of autophagy proteins with feature representation learning. Jiao S; Chen Z; Zhang L; Zhou X; Shi L Amino Acids; 2022 May; 54(5):799-809. PubMed ID: 35286461 [TBL] [Abstract][Full Text] [Related]
51. Identification of 2'-O-methylation Site by Investigating Multi-feature Extracting Techniques. Huang QL; Wang L; Han SG; Tang H Comb Chem High Throughput Screen; 2020; 23(6):527-535. PubMed ID: 32334499 [TBL] [Abstract][Full Text] [Related]
52. i2OM: Toward a better prediction of 2'-O-methylation in human RNA. Yang YH; Ma CY; Gao D; Liu XW; Yuan SS; Ding H Int J Biol Macromol; 2023 Jun; 239():124247. PubMed ID: 37003392 [TBL] [Abstract][Full Text] [Related]
53. Identifying N7-methylguanosine sites by integrating multiple features. Zou H; Yang F; Yin Z Biopolymers; 2022 Feb; 113(2):e23480. PubMed ID: 34709657 [TBL] [Abstract][Full Text] [Related]
54. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest. You ZH; Chan KC; Hu P PLoS One; 2015; 10(5):e0125811. PubMed ID: 25946106 [TBL] [Abstract][Full Text] [Related]
55. Sequence-Based Prediction with Feature Representation Learning and Biological Function Analysis of Channel Proteins. Chen Z; Jiao S; Zhao D; Hesham AE; Zou Q; Xu L; Sun M; Zhang L Front Biosci (Landmark Ed); 2022 Jun; 27(6):177. PubMed ID: 35748253 [TBL] [Abstract][Full Text] [Related]
56. mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines. Wan S; Mak MW; Kung SY BMC Bioinformatics; 2012 Nov; 13():290. PubMed ID: 23130999 [TBL] [Abstract][Full Text] [Related]
57. PrAS: Prediction of amidation sites using multiple feature extraction. Wang T; Zheng W; Wuyun Q; Wu Z; Ruan J; Hu G; Gao J Comput Biol Chem; 2017 Feb; 66():57-62. PubMed ID: 27918921 [TBL] [Abstract][Full Text] [Related]
58. 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]
59. Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing. Tran TO; Le NQK Comput Biol Med; 2024 May; 174():108408. PubMed ID: 38636332 [TBL] [Abstract][Full Text] [Related]