902 related articles for article (PubMed ID: 30255801)
1. Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data.
El-Manzalawy Y; Hsieh TY; Shivakumar M; Kim D; Honavar V
BMC Med Genomics; 2018 Sep; 11(Suppl 3):71. PubMed ID: 30255801
[TBL] [Abstract][Full Text] [Related]
2. A prognostic prediction model for ovarian cancer using a cross-modal view correlation discovery network.
Wang H; Han X; Ren J; Cheng H; Li H; Li Y; Li X
Math Biosci Eng; 2024 Jan; 21(1):736-764. PubMed ID: 38303441
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
Kim D; Li R; Dudek SM; Ritchie MD
J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
[TBL] [Abstract][Full Text] [Related]
5. Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer.
Bhadra T; Mallik S; Hasan N; Zhao Z
BMC Bioinformatics; 2022 Apr; 23(Suppl 3):153. PubMed ID: 35484501
[TBL] [Abstract][Full Text] [Related]
6. Integrative analysis of DNA methylation and gene expression in papillary renal cell carcinoma.
Singh NP; Vinod PK
Mol Genet Genomics; 2020 May; 295(3):807-824. PubMed ID: 32185457
[TBL] [Abstract][Full Text] [Related]
7. Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study.
Li Y; Mansmann U; Du S; Hornung R
Genes (Basel); 2021 Nov; 12(12):. PubMed ID: 34946821
[TBL] [Abstract][Full Text] [Related]
8. Integrated multi-omics analysis of ovarian cancer using variational autoencoders.
Hira MT; Razzaque MA; Angione C; Scrivens J; Sawan S; Sarker M
Sci Rep; 2021 Mar; 11(1):6265. PubMed ID: 33737557
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. ICan: an integrated co-alteration network to identify ovarian cancer-related genes.
Zhou Y; Liu Y; Li K; Zhang R; Qiu F; Zhao N; Xu Y
PLoS One; 2015; 10(3):e0116095. PubMed ID: 25803614
[TBL] [Abstract][Full Text] [Related]
11. Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction.
Liu C; Wang X; Genchev GZ; Lu H
Methods; 2017 Jul; 124():100-107. PubMed ID: 28627406
[TBL] [Abstract][Full Text] [Related]
12. Multi-agent Feature Selection for Integrative Multi-omics Analysis.
Tabakhi S; Lu H
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1638-1642. PubMed ID: 36086594
[TBL] [Abstract][Full Text] [Related]
13. EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma.
Shao B; Bjaanæs MM; Helland Å; Schütte C; Conrad T
PLoS One; 2019; 14(1):e0204186. PubMed ID: 30703089
[TBL] [Abstract][Full Text] [Related]
14. A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification.
Chung RH; Kang CY
Gigascience; 2019 May; 8(5):. PubMed ID: 31029063
[TBL] [Abstract][Full Text] [Related]
15. Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.
Seal DB; Das V; Goswami S; De RK
Genomics; 2020 Jul; 112(4):2833-2841. PubMed ID: 32234433
[TBL] [Abstract][Full Text] [Related]
16. A denoised multi-omics integration framework for cancer subtype classification and survival prediction.
Pang J; Liang B; Ding R; Yan Q; Chen R; Xu J
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37594302
[TBL] [Abstract][Full Text] [Related]
17. Identification three LncRNA prognostic signature of ovarian cancer based on genome-wide copy number variation.
Zheng M; Hu Y; Gou R; Nie X; Li X; Liu J; Lin B
Biomed Pharmacother; 2020 Apr; 124():109810. PubMed ID: 32000042
[TBL] [Abstract][Full Text] [Related]
18. Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods.
He Z; Zhang J; Yuan X; Zhang Y
Front Genet; 2020; 11():632901. PubMed ID: 33537063
[TBL] [Abstract][Full Text] [Related]
19. Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.
Verbeke LP; Van den Eynden J; Fierro AC; Demeester P; Fostier J; Marchal K
PLoS One; 2015; 10(7):e0133503. PubMed ID: 26217958
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
