310 related articles for article (PubMed ID: 37139048)
1. Prediction of drug sensitivity based on multi-omics data using deep learning and similarity network fusion approaches.
Liu XY; Mei XY
Front Bioeng Biotechnol; 2023; 11():1156372. PubMed ID: 37139048
[TBL] [Abstract][Full Text] [Related]
2. Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data.
Park S; Soh J; Lee H
BMC Bioinformatics; 2021 May; 22(1):269. PubMed ID: 34034645
[TBL] [Abstract][Full Text] [Related]
3. Deep learning and multi-omics approach to predict drug responses in cancer.
Wang C; Lye X; Kaalia R; Kumar P; Rajapakse JC
BMC Bioinformatics; 2022 Nov; 22(Suppl 10):632. PubMed ID: 36443676
[TBL] [Abstract][Full Text] [Related]
4. Network-based integration of multi-omics data for clinical outcome prediction in neuroblastoma.
Wang C; Lue W; Kaalia R; Kumar P; Rajapakse JC
Sci Rep; 2022 Sep; 12(1):15425. PubMed ID: 36104347
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer.
Malik V; Kalakoti Y; Sundar D
BMC Genomics; 2021 Mar; 22(1):214. PubMed ID: 33761889
[TBL] [Abstract][Full Text] [Related]
7. HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction.
Vangimalla RR; Sreevalsan-Nair J
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1880-1886. PubMed ID: 34891654
[TBL] [Abstract][Full Text] [Related]
8. [Predicting tumor drug sensitivity with multi-omics data].
Yang C; Liu Z; Dai P; Zhang Y; Huang P; Lin Y; Xie L
Sheng Wu Gong Cheng Xue Bao; 2022 Jun; 38(6):2201-2212. PubMed ID: 35786472
[TBL] [Abstract][Full Text] [Related]
9. MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis.
Li X; Ma J; Leng L; Han M; Li M; He F; Zhu Y
Front Genet; 2022; 13():806842. PubMed ID: 35186034
[TBL] [Abstract][Full Text] [Related]
10. MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.
Zhong Y; Peng Y; Lin Y; Chen D; Zhang H; Zheng W; Chen Y; Wu C
BMC Med Inform Decis Mak; 2023 May; 23(1):82. PubMed ID: 37147619
[TBL] [Abstract][Full Text] [Related]
11. Classifying breast cancer using multi-view graph neural network based on multi-omics data.
Ren Y; Gao Y; Du W; Qiao W; Li W; Yang Q; Liang Y; Li G
Front Genet; 2024; 15():1363896. PubMed ID: 38444760
[No Abstract] [Full Text] [Related]
12. Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
Tong L; Mitchel J; Chatlin K; Wang MD
BMC Med Inform Decis Mak; 2020 Sep; 20(1):225. PubMed ID: 32933515
[TBL] [Abstract][Full Text] [Related]
13. Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning.
Pang W; Chen M; Qin Y
BMC Bioinformatics; 2024 May; 25(1):182. PubMed ID: 38724920
[TBL] [Abstract][Full Text] [Related]
14. DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants.
Wang K; Abid MA; Rasheed A; Crossa J; Hearne S; Li H
Mol Plant; 2023 Jan; 16(1):279-293. PubMed ID: 36366781
[TBL] [Abstract][Full Text] [Related]
15. MOLI: multi-omics late integration with deep neural networks for drug response prediction.
Sharifi-Noghabi H; Zolotareva O; Collins CC; Ester M
Bioinformatics; 2019 Jul; 35(14):i501-i509. PubMed ID: 31510700
[TBL] [Abstract][Full Text] [Related]
16. FGCNSurv: dually fused graph convolutional network for multi-omics survival prediction.
Wen G; Li L
Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37522887
[TBL] [Abstract][Full Text] [Related]
17. moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks.
Choi JM; Chae H
BMC Bioinformatics; 2023 Apr; 24(1):169. PubMed ID: 37101124
[TBL] [Abstract][Full Text] [Related]
18. Multi-omics Data Integration Model Based on UMAP Embedding and Convolutional Neural Network.
ElKarami B; Alkhateeb A; Qattous H; Alshomali L; Shahrrava B
Cancer Inform; 2022; 21():11769351221124205. PubMed ID: 36187912
[TBL] [Abstract][Full Text] [Related]
19. A benchmark study of deep learning-based multi-omics data fusion methods for cancer.
Leng D; Zheng L; Wen Y; Zhang Y; Wu L; Wang J; Wang M; Zhang Z; He S; Bo X
Genome Biol; 2022 Aug; 23(1):171. PubMed ID: 35945544
[TBL] [Abstract][Full Text] [Related]
20. Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.
Tong L; Wu H; Wang MD
Methods; 2021 May; 189():74-85. PubMed ID: 32763377
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
