126 related articles for article (PubMed ID: 34213529)
1. phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data.
Sharma D; Xu W
Bioinformatics; 2021 Nov; 37(21):3707-3714. PubMed ID: 34213529
[TBL] [Abstract][Full Text] [Related]
2. TaxoNN: ensemble of neural networks on stratified microbiome data for disease prediction.
Sharma D; Paterson AD; Xu W
Bioinformatics; 2020 Nov; 36(17):4544-4550. PubMed ID: 32449747
[TBL] [Abstract][Full Text] [Related]
3. ReGeNNe: genetic pathway-based deep neural network using canonical correlation regularizer for disease prediction.
Sharma D; Xu W
Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37963055
[TBL] [Abstract][Full Text] [Related]
4. A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data.
Fung DLX; Li X; Leung CK; Hu P
Bioinform Adv; 2023; 3(1):vbad059. PubMed ID: 37228387
[TBL] [Abstract][Full Text] [Related]
5. A novel deep learning method for predictive modeling of microbiome data.
Wang Y; Bhattacharya T; Jiang Y; Qin X; Wang Y; Liu Y; Saykin AJ; Chen L
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32406914
[TBL] [Abstract][Full Text] [Related]
6. Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks.
Metwally AA; Yu PS; Reiman D; Dai Y; Finn PW; Perkins DL
PLoS Comput Biol; 2019 Feb; 15(2):e1006693. PubMed ID: 30716085
[TBL] [Abstract][Full Text] [Related]
7. DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation.
Choi JM; Ji M; Watson LT; Zhang L
Bioinformatics; 2023 May; 39(5):. PubMed ID: 37099704
[TBL] [Abstract][Full Text] [Related]
8. Human host status inference from temporal microbiome changes via recurrent neural networks.
Chen X; Liu L; Zhang W; Yang J; Wong KC
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34151933
[TBL] [Abstract][Full Text] [Related]
9. phylaGAN: data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data.
Sharma D; Lou W; Xu W
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38569898
[TBL] [Abstract][Full Text] [Related]
10. Virtifier: a deep learning-based identifier for viral sequences from metagenomes.
Miao Y; Liu F; Hou T; Liu Y
Bioinformatics; 2022 Feb; 38(5):1216-1222. PubMed ID: 34908121
[TBL] [Abstract][Full Text] [Related]
11. Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.
Min X; Zeng W; Chen N; Chen T; Jiang R
Bioinformatics; 2017 Jul; 33(14):i92-i101. PubMed ID: 28881969
[TBL] [Abstract][Full Text] [Related]
12. LSTM Model for Prediction of Heart Failure in Big Data.
Maragatham G; Devi S
J Med Syst; 2019 Mar; 43(5):111. PubMed ID: 30888519
[TBL] [Abstract][Full Text] [Related]
13. Predicting microbiomes through a deep latent space.
García-Jiménez B; Muñoz J; Cabello S; Medina J; Wilkinson MD
Bioinformatics; 2021 Jun; 37(10):1444-1451. PubMed ID: 33289510
[TBL] [Abstract][Full Text] [Related]
14. Robust biomarker discovery for microbiome-wide association studies.
Zhu Q; Li B; He T; Li G; Jiang X
Methods; 2020 Feb; 173():44-51. PubMed ID: 31238097
[TBL] [Abstract][Full Text] [Related]
15. Deep learning for the dynamic prediction of multivariate longitudinal and survival data.
Lin J; Luo S
Stat Med; 2022 Jul; 41(15):2894-2907. PubMed ID: 35347750
[TBL] [Abstract][Full Text] [Related]
16. pldist: ecological dissimilarities for paired and longitudinal microbiome association analysis.
Plantinga AM; Chen J; Jenq RR; Wu MC
Bioinformatics; 2019 Oct; 35(19):3567-3575. PubMed ID: 30863868
[TBL] [Abstract][Full Text] [Related]
17. Microbiome Toolbox: methodological approaches to derive and visualize microbiome trajectories.
Banjac J; Sprenger N; Dogra SK
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36469345
[TBL] [Abstract][Full Text] [Related]
18. Transfer learning for biomedical named entity recognition with neural networks.
Giorgi JM; Bader GD
Bioinformatics; 2018 Dec; 34(23):4087-4094. PubMed ID: 29868832
[TBL] [Abstract][Full Text] [Related]
19. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
20. Deep-learning method for data association in particle tracking.
Yao Y; Smal I; Grigoriev I; Akhmanova A; Meijering E
Bioinformatics; 2020 Dec; 36(19):4935-4941. PubMed ID: 32879934
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]