191 related articles for article (PubMed ID: 37639434)
1. Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network.
Hu W; Guan L; Li M
PLoS Comput Biol; 2023 Aug; 19(8):e1011370. PubMed ID: 37639434
[TBL] [Abstract][Full Text] [Related]
2. Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction.
Yan W; Tan L; Mengshan L; Weihong Z; Sheng S; Jun W; Fu-An W
BMC Genomics; 2023 Dec; 24(1):758. PubMed ID: 38082253
[TBL] [Abstract][Full Text] [Related]
3. A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding.
Hu W; Li Y; Wu Y; Guan L; Li M
iScience; 2024 Jun; 27(6):110030. PubMed ID: 38868182
[TBL] [Abstract][Full Text] [Related]
4. Essential genes identification model based on sequence feature map and graph convolutional neural network.
Hu W; Li M; Xiao H; Guan L
BMC Genomics; 2024 Jan; 25(1):47. PubMed ID: 38200437
[TBL] [Abstract][Full Text] [Related]
5. EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.
Li F; Liu S; Li K; Zhang Y; Duan M; Yao Z; Zhu G; Guo Y; Wang Y; Huang L; Zhou F
Comput Biol Med; 2023 Jun; 160():107030. PubMed ID: 37196456
[TBL] [Abstract][Full Text] [Related]
6. Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in
Zulfiqar H; Huang QL; Lv H; Sun ZJ; Dao FY; Lin H
Int J Mol Sci; 2022 Jan; 23(3):. PubMed ID: 35163174
[TBL] [Abstract][Full Text] [Related]
7. Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.
Morid MA; Sheng ORL; Kawamoto K; Abdelrahman S
J Biomed Inform; 2020 Nov; 111():103565. PubMed ID: 32980530
[TBL] [Abstract][Full Text] [Related]
8. Low-Rank Deep Convolutional Neural Network for Multitask Learning.
Su F; Shang HY; Wang JY
Comput Intell Neurosci; 2019; 2019():7410701. PubMed ID: 31236107
[TBL] [Abstract][Full Text] [Related]
9. Deep-2'-O-Me: Predicting 2'-O-methylation sites by Convolutional Neural Networks.
Mostavi M; Salekin S; Huang Y
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2394-2397. PubMed ID: 30440889
[TBL] [Abstract][Full Text] [Related]
10. Using multiple convolutional window scanning of convolutional neural network for an efficient prediction of ATP-binding sites in transport proteins.
Nguyen TT; Chen S; Ho QT; Ou YY
Proteins; 2022 Jul; 90(7):1486-1492. PubMed ID: 35246878
[TBL] [Abstract][Full Text] [Related]
11. Predicting lysine methylation sites using a convolutional neural network.
Spadaro A; Sharma A; Dehzangi I
Methods; 2024 Jun; 226():127-132. PubMed ID: 38604414
[TBL] [Abstract][Full Text] [Related]
12. Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding.
Yuan Q; Chen K; Yu Y; Le NQK; Chua MCH
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642410
[TBL] [Abstract][Full Text] [Related]
13. A survey on protein-DNA-binding sites in computational biology.
Zhang Y; Bao W; Cao Y; Cong H; Chen B; Chen Y
Brief Funct Genomics; 2022 Sep; 21(5):357-375. PubMed ID: 35652477
[TBL] [Abstract][Full Text] [Related]
14. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
[TBL] [Abstract][Full Text] [Related]
15. DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites.
Liu Q; Chen J; Wang Y; Li S; Jia C; Song J; Li F
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32608476
[TBL] [Abstract][Full Text] [Related]
16. Drug Response Prediction Based on 1D Convolutional Neural Network and Attention Mechanism.
Mingxun Z; Zhigang M; Jingyi W
Comput Math Methods Med; 2022; 2022():8671348. PubMed ID: 36164615
[TBL] [Abstract][Full Text] [Related]
17. 4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network.
Abbas Z; Tayara H; Chong KT
Genes (Basel); 2021 Feb; 12(2):. PubMed ID: 33672576
[TBL] [Abstract][Full Text] [Related]
18. Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network.
Fu X
Comput Intell Neurosci; 2021; 2021():2691346. PubMed ID: 34925485
[TBL] [Abstract][Full Text] [Related]
19. Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments.
Li M; Ling C; Xu Q; Gao J
Amino Acids; 2018 Feb; 50(2):255-266. PubMed ID: 29151135
[TBL] [Abstract][Full Text] [Related]
20. Using a deep convolutional network to predict the longitudinal dispersion coefficient.
Ghiasi B; Jodeiri A; Andik B
J Contam Hydrol; 2021 Jun; 240():103798. PubMed ID: 33770526
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
