151 related articles for article (PubMed ID: 37147561)
1. Semi-supervised learning improves regulatory sequence prediction with unlabeled sequences.
Mourad R
BMC Bioinformatics; 2023 May; 24(1):186. PubMed ID: 37147561
[TBL] [Abstract][Full Text] [Related]
2. An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.
Stanescu A; Caragea D
BMC Syst Biol; 2015; 9 Suppl 5(Suppl 5):S1. PubMed ID: 26356316
[TBL] [Abstract][Full Text] [Related]
3. Improving the performance of supervised deep learning for regulatory genomics using phylogenetic augmentation.
Duncan AG; Mitchell JA; Moses AM
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38588559
[TBL] [Abstract][Full Text] [Related]
4. Exploiting deep transfer learning for the prediction of functional non-coding variants using genomic sequence.
Chen L; Wang Y; Zhao F
Bioinformatics; 2022 Jun; 38(12):3164-3172. PubMed ID: 35389435
[TBL] [Abstract][Full Text] [Related]
5. Genome-wide prediction of cis-regulatory regions using supervised deep learning methods.
Li Y; Shi W; Wasserman WW
BMC Bioinformatics; 2018 May; 19(1):202. PubMed ID: 29855387
[TBL] [Abstract][Full Text] [Related]
6. A semi-supervised deep learning approach for predicting the functional effects of genomic non-coding variations.
Jia H; Park SJ; Nakai K
BMC Bioinformatics; 2021 Jun; 22(Suppl 6):128. PubMed ID: 34078253
[TBL] [Abstract][Full Text] [Related]
7. Genome-wide pre-miRNA discovery from few labeled examples.
Yones C; Stegmayer G; Milone DH
Bioinformatics; 2018 Feb; 34(4):541-549. PubMed ID: 29028911
[TBL] [Abstract][Full Text] [Related]
8. A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
Dornaika F; Bi J; Zhang C
Neural Netw; 2023 Jan; 158():188-196. PubMed ID: 36462365
[TBL] [Abstract][Full Text] [Related]
9. Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
Wang X; Chen H; Xiang H; Lin H; Lin X; Heng PA
Med Image Anal; 2021 May; 70():102010. PubMed ID: 33677262
[TBL] [Abstract][Full Text] [Related]
10. sscNOVA: a semi-supervised convolutional neural network for predicting functional regulatory variants in autoimmune diseases.
Li H; Yu Z; Du F; Song L; Gao Y; Shi F
Front Immunol; 2024; 15():1323072. PubMed ID: 38380333
[TBL] [Abstract][Full Text] [Related]
11. Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data.
Ren Z; Li Q; Cao K; Li MM; Zhou Y; Wang K
BMC Bioinformatics; 2023 Feb; 24(1):43. PubMed ID: 36759776
[TBL] [Abstract][Full Text] [Related]
12. Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning.
Vitsios D; Petrovski S
Am J Hum Genet; 2020 May; 106(5):659-678. PubMed ID: 32386536
[TBL] [Abstract][Full Text] [Related]
13. Semi-supervised learning of Hidden Markov Models for biological sequence analysis.
Tamposis IA; Tsirigos KD; Theodoropoulou MC; Kontou PI; Bagos PG
Bioinformatics; 2019 Jul; 35(13):2208-2215. PubMed ID: 30445435
[TBL] [Abstract][Full Text] [Related]
14. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
Wang X; Tang F; Chen H; Cheung CY; Heng PA
Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
[TBL] [Abstract][Full Text] [Related]
15. Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning.
Hocking TD; Goerner-Potvin P; Morin A; Shao X; Pastinen T; Bourque G
Bioinformatics; 2017 Feb; 33(4):491-499. PubMed ID: 27797775
[TBL] [Abstract][Full Text] [Related]
16. Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.
Pourreza Shahri M; Kahanda I
BMC Bioinformatics; 2021 Oct; 22(1):500. PubMed ID: 34656098
[TBL] [Abstract][Full Text] [Related]
17. Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors.
Tran QT; Alom MZ; Orr BA
BMC Bioinformatics; 2022 Jun; 23(1):223. PubMed ID: 35676649
[TBL] [Abstract][Full Text] [Related]
18. Deep semi-supervised learning for brain tumor classification.
Ge C; Gu IY; Jakola AS; Yang J
BMC Med Imaging; 2020 Jul; 20(1):87. PubMed ID: 32727476
[TBL] [Abstract][Full Text] [Related]
19. A self-supervised deep learning method for data-efficient training in genomics.
Gündüz HA; Binder M; To XY; Mreches R; Bischl B; McHardy AC; Münch PC; Rezaei M
Commun Biol; 2023 Sep; 6(1):928. PubMed ID: 37696966
[TBL] [Abstract][Full Text] [Related]
20. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
