211 related articles for article (PubMed ID: 37671013)
1. An introduction to representation learning for single-cell data analysis.
Gunawan I; Vafaee F; Meijering E; Lock JG
Cell Rep Methods; 2023 Aug; 3(8):100547. PubMed ID: 37671013
[TBL] [Abstract][Full Text] [Related]
2. Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.
Hudson IL
Methods Mol Biol; 2021; 2190():167-184. PubMed ID: 32804365
[TBL] [Abstract][Full Text] [Related]
3. Deep Representation Learning for Social Network Analysis.
Tan Q; Liu N; Hu X
Front Big Data; 2019; 2():2. PubMed ID: 33693325
[TBL] [Abstract][Full Text] [Related]
4. Application of deep learning methods in biological networks.
Jin S; Zeng X; Xia F; Huang W; Liu X
Brief Bioinform; 2021 Mar; 22(2):1902-1917. PubMed ID: 32363401
[TBL] [Abstract][Full Text] [Related]
5. 3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions.
Zhang CY; Xiao YY; Lin JC; Chen CLP; Liu W; Tong YH
IEEE Trans Cybern; 2022 Jan; 52(1):398-410. PubMed ID: 32149670
[TBL] [Abstract][Full Text] [Related]
6. A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Ren Y; Tsai MY; Chen L; Wang J; Li S; Liu Y; Jia X; Shen C
Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):287-295. PubMed ID: 31768885
[TBL] [Abstract][Full Text] [Related]
7. Graph representation learning in bioinformatics: trends, methods and applications.
Yi HC; You ZH; Huang DS; Kwoh CK
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34471921
[TBL] [Abstract][Full Text] [Related]
8. Deep latent space fusion for adaptive representation of heterogeneous multi-omics data.
Zhang C; Chen Y; Zeng T; Zhang C; Chen L
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35079777
[TBL] [Abstract][Full Text] [Related]
9. Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.
Oleynik M; Kugic A; Kasáč Z; Kreuzthaler M
J Am Med Inform Assoc; 2019 Nov; 26(11):1247-1254. PubMed ID: 31512729
[TBL] [Abstract][Full Text] [Related]
10. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
11. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G; Pastore A; Piazza F; Temussi PA
Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
[TBL] [Abstract][Full Text] [Related]
12. Learning to represent continuous variables in heterogeneous neural networks.
Darshan R; Rivkind A
Cell Rep; 2022 Apr; 39(1):110612. PubMed ID: 35385721
[TBL] [Abstract][Full Text] [Related]
13. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.
Xuan P; Sun H; Wang X; Zhang T; Pan S
Int J Mol Sci; 2019 Jul; 20(15):. PubMed ID: 31349729
[TBL] [Abstract][Full Text] [Related]
14. Predicting chemical ecotoxicity by learning latent space chemical representations.
Gao F; Zhang W; Baccarelli AA; Shen Y
Environ Int; 2022 May; 163():107224. PubMed ID: 35395577
[TBL] [Abstract][Full Text] [Related]
15. The performance of deep generative models for learning joint embeddings of single-cell multi-omics data.
Brombacher E; Hackenberg M; Kreutz C; Binder H; Treppner M
Front Mol Biosci; 2022; 9():962644. PubMed ID: 36387277
[TBL] [Abstract][Full Text] [Related]
16. Deep structure integrative representation of multi-omics data for cancer subtyping.
Yang B; Yang Y; Su X
Bioinformatics; 2022 Jun; 38(13):3337-3342. PubMed ID: 35639657
[TBL] [Abstract][Full Text] [Related]
17. Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
Ma T; Zhang A
BMC Genomics; 2019 Dec; 20(Suppl 11):944. PubMed ID: 31856727
[TBL] [Abstract][Full Text] [Related]
18. Detecting autism from picture book narratives using deep neural utterance embeddings.
Wawer A; Chojnicka I
Int J Lang Commun Disord; 2022 Sep; 57(5):948-962. PubMed ID: 35555933
[TBL] [Abstract][Full Text] [Related]
19. DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data.
Cheng L; Karkhanis P; Gokbag B; Liu Y; Li L
PLoS Comput Biol; 2022 Apr; 18(4):e1008885. PubMed ID: 35404970
[TBL] [Abstract][Full Text] [Related]
20. Learning representation for multiple biological networks via a robust graph regularized integration approach.
Zhang X; Wang W; Ren CX; Dai DQ
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34607360
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
