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.
161 related articles for article (PubMed ID: 33102477)
41. DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites. Chang X; Zhu Y; Chen Y; Li L Comput Biol Med; 2024 Mar; 170():108079. PubMed ID: 38295472 [TBL] [Abstract][Full Text] [Related]
42. A Deep Neural Network for Identifying DNA N4-Methylcytosine Sites. Zeng F; Fang G; Yao L Front Genet; 2020; 11():209. PubMed ID: 32211035 [No Abstract] [Full Text] [Related]
43. CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction. Tsukiyama S; Hasan MM; Kurata H Comput Struct Biotechnol J; 2023; 21():644-654. PubMed ID: 36659917 [TBL] [Abstract][Full Text] [Related]
44. DeepKhib: A Deep-Learning Framework for Lysine 2-Hydroxyisobutyrylation Sites Prediction. Zhang L; Zou Y; He N; Chen Y; Chen Z; Li L Front Cell Dev Biol; 2020; 8():580217. PubMed ID: 33015075 [TBL] [Abstract][Full Text] [Related]
46. Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction. Su Y; Luo Y; Zhao X; Liu Y; Peng J PLoS Comput Biol; 2019 Sep; 15(9):e1007283. PubMed ID: 31483777 [TBL] [Abstract][Full Text] [Related]
47. Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins. Chung CR; Chang YP; Hsu YL; Chen S; Wu LC; Horng JT; Lee TY Sci Rep; 2020 Jun; 10(1):10541. PubMed ID: 32601280 [TBL] [Abstract][Full Text] [Related]
48. Prediction of the RBP binding sites on lncRNAs using the high-order nucleotide encoding convolutional neural network. Zhang SW; Wang Y; Zhang XX; Wang JQ Anal Biochem; 2019 Oct; 583():113364. PubMed ID: 31323206 [TBL] [Abstract][Full Text] [Related]
49. 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]
50. Identifying SNAREs by Incorporating Deep Learning Architecture and Amino Acid Embedding Representation. Le NQK; Huynh TT Front Physiol; 2019; 10():1501. PubMed ID: 31920706 [TBL] [Abstract][Full Text] [Related]
51. A deep neural network approach for learning intrinsic protein-RNA binding preferences. Ben-Bassat I; Chor B; Orenstein Y Bioinformatics; 2018 Sep; 34(17):i638-i646. PubMed ID: 30423078 [TBL] [Abstract][Full Text] [Related]
52. Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations. Agajanian S; Oluyemi O; Verkhivker GM Front Mol Biosci; 2019; 6():44. PubMed ID: 31245384 [TBL] [Abstract][Full Text] [Related]
53. m6AGE: A Predictor for N6-Methyladenosine Sites Identification Utilizing Sequence Characteristics and Graph Embedding-Based Geometrical Information. Wang Y; Guo R; Huang L; Yang S; Hu X; He K Front Genet; 2021; 12():670852. PubMed ID: 34122525 [TBL] [Abstract][Full Text] [Related]
54. Design of deep convolutional networks for prediction of image rapid serial visual presentation events. Zijing Mao ; Wan Xiang Yao ; Yufe Huang Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2035-2038. PubMed ID: 29060296 [TBL] [Abstract][Full Text] [Related]
55. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports. Hassanzadeh H; Nguyen A; Karimi S; Chu K J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067 [TBL] [Abstract][Full Text] [Related]
56. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach. Pan X; Shen HB BMC Bioinformatics; 2017 Feb; 18(1):136. PubMed ID: 28245811 [TBL] [Abstract][Full Text] [Related]
57. PVsiRNAPred: Prediction of plant exclusive virus-derived small interfering RNAs by deep convolutional neural network. He B; Huang J; Chen H J Bioinform Comput Biol; 2019 Dec; 17(6):1950039. PubMed ID: 32019412 [TBL] [Abstract][Full Text] [Related]
58. tRNA-DL: A Deep Learning Approach to Improve tRNAscan-SE Prediction Results. Gao X; Wei Z; Hakonarson H Hum Hered; 2018; 83(3):163-172. PubMed ID: 30685762 [TBL] [Abstract][Full Text] [Related]
59. iLM-2L: A two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou׳s general PseAAC. Ju Z; Cao JZ; Gu H J Theor Biol; 2015 Nov; 385():50-7. PubMed ID: 26254214 [TBL] [Abstract][Full Text] [Related]
60. Off-target predictions in CRISPR-Cas9 gene editing using deep learning. Lin J; Wong KC Bioinformatics; 2018 Sep; 34(17):i656-i663. PubMed ID: 30423072 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]