481 related articles for article (PubMed ID: 35860402)
21. A deep learning method to more accurately recall known lysine acetylation sites.
Wu M; Yang Y; Wang H; Xu Y
BMC Bioinformatics; 2019 Jan; 20(1):49. PubMed ID: 30674277
[TBL] [Abstract][Full Text] [Related]
22. PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.
Meng J; Kang Q; Chang Z; Luan Y
BMC Bioinformatics; 2021 May; 22(Suppl 3):242. PubMed ID: 33980138
[TBL] [Abstract][Full Text] [Related]
23. Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm.
Karbasi M; Ali M; Bateni SM; Jun C; Jamei M; Farooque AA; Yaseen ZM
Sci Rep; 2024 Jul; 14(1):15051. PubMed ID: 38951605
[TBL] [Abstract][Full Text] [Related]
24. COVID-19 cough classification using machine learning and global smartphone recordings.
Pahar M; Klopper M; Warren R; Niesler T
Comput Biol Med; 2021 Aug; 135():104572. PubMed ID: 34182331
[TBL] [Abstract][Full Text] [Related]
25. Sleep Quality Prediction From Wearable Data Using Deep Learning.
Sathyanarayana A; Joty S; Fernandez-Luque L; Ofli F; Srivastava J; Elmagarmid A; Arora T; Taheri S
JMIR Mhealth Uhealth; 2016 Nov; 4(4):e125. PubMed ID: 27815231
[TBL] [Abstract][Full Text] [Related]
26. Comparison of machine learning and deep learning techniques in promoter prediction across diverse species.
Bhandari N; Khare S; Walambe R; Kotecha K
PeerJ Comput Sci; 2021; 7():e365. PubMed ID: 33817015
[TBL] [Abstract][Full Text] [Related]
27. DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information.
Ahmed S; Kabir M; Arif M; Khan ZU; Yu DJ
Anal Biochem; 2021 Jan; 612():113955. PubMed ID: 32949607
[TBL] [Abstract][Full Text] [Related]
28. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
29. Deep_KsuccSite: A novel deep learning method for the identification of lysine succinylation sites.
Liu X; Xu LL; Lu YP; Yang T; Gu XY; Wang L; Liu Y
Front Genet; 2022; 13():1007618. PubMed ID: 36246655
[TBL] [Abstract][Full Text] [Related]
30. Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction.
Pakhrin SC; Pokharel S; Saigo H; Kc DB
Methods Mol Biol; 2022; 2499():285-322. PubMed ID: 35696087
[TBL] [Abstract][Full Text] [Related]
31. Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks.
Tng SS; Le NQK; Yeh HY; Chua MCH
J Proteome Res; 2022 Jan; 21(1):265-273. PubMed ID: 34812044
[TBL] [Abstract][Full Text] [Related]
32. Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method.
Huang KY; Hsu JB; Lee TY
Sci Rep; 2019 Nov; 9(1):16175. PubMed ID: 31700141
[TBL] [Abstract][Full Text] [Related]
33. DeepCSO: A Deep-Learning Network Approach to Predicting Cysteine S-Sulphenylation Sites.
Lyu X; Li S; Jiang C; He N; Chen Z; Zou Y; Li L
Front Cell Dev Biol; 2020; 8():594587. PubMed ID: 33335901
[TBL] [Abstract][Full Text] [Related]
34. Screening and functional prediction of differentially expressed genes in walnut endocarp during hardening period based on deep neural network under agricultural internet of things.
Guo Z; Yu S; Fu J; Ma K; Zhang R
PLoS One; 2022; 17(2):e0263755. PubMed ID: 35202404
[TBL] [Abstract][Full Text] [Related]
35. Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer.
Bostanci E; Kocak E; Unal M; Guzel MS; Acici K; Asuroglu T
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991790
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. UbNiRF: A Hybrid Framework Based on Null Importances and Random Forest that Combines Multiple Features to Predict Ubiquitination Sites in
Li X; Yuan Z; Chen Y
Front Biosci (Landmark Ed); 2024 May; 29(5):197. PubMed ID: 38812315
[TBL] [Abstract][Full Text] [Related]
38. Accurate Prediction of Anti-hypertensive Peptides Based on Convolutional Neural Network and Gated Recurrent unit.
Shi H; Zhang S
Interdiscip Sci; 2022 Dec; 14(4):879-894. PubMed ID: 35474167
[TBL] [Abstract][Full Text] [Related]
39. An ensemble deep learning approach for predicting cocoa yield.
Olofintuyi SS; Olajubu EA; Olanike D
Heliyon; 2023 Apr; 9(4):e15245. PubMed ID: 37089327
[TBL] [Abstract][Full Text] [Related]
40. deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning.
Duhan N; Norton JM; Kaundal R
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35325031
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]