104 related articles for article (PubMed ID: 34086850)
1. PCLasso: a protein complex-based, group lasso-Cox model for accurate prognosis and risk protein complex discovery.
Wang W; Liu W
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34086850
[TBL] [Abstract][Full Text] [Related]
2. Pseudogene-gene functional networks are prognostic of patient survival in breast cancer.
Smerekanych S; Johnson TS; Huang K; Zhang Y
BMC Med Genomics; 2020 Apr; 13(Suppl 5):51. PubMed ID: 32241256
[TBL] [Abstract][Full Text] [Related]
3. Construction and Validation of a Prognostic Gene-Based Model for Overall Survival Prediction in Hepatocellular Carcinoma Using an Integrated Statistical and Bioinformatic Approach.
Dessie EY; Tu SJ; Chiang HS; Tsai JJP; Chang YS; Chang JG; Ng KL
Int J Mol Sci; 2021 Feb; 22(4):. PubMed ID: 33562824
[TBL] [Abstract][Full Text] [Related]
4. PCLassoLog: A protein complex-based, group Lasso-logistic model for cancer classification and risk protein complex discovery.
Wang W; Yuan H; Han J; Liu W
Comput Struct Biotechnol J; 2023; 21():365-377. PubMed ID: 36582441
[TBL] [Abstract][Full Text] [Related]
5. Systemic characterization of alternative splicing related to prognosis and immune infiltration in malignant mesothelioma.
Lai J; Yang H; Xu T
BMC Cancer; 2021 Jul; 21(1):848. PubMed ID: 34294080
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a fourteen- innate immunity-related gene pairs signature for predicting prognosis head and neck squamous cell carcinoma.
Zhang F; Liu Y; Yang Y; Yang K
BMC Cancer; 2020 Oct; 20(1):1015. PubMed ID: 33081731
[TBL] [Abstract][Full Text] [Related]
7. Molecular Classification Substitutes for the Prognostic Variables Stage, Age, and MYCN Status in Neuroblastoma Risk Assessment.
Rosswog C; Schmidt R; Oberthuer A; Juraeva D; Brors B; Engesser A; Kahlert Y; Volland R; Bartenhagen C; Simon T; Berthold F; Hero B; Faldum A; Fischer M
Neoplasia; 2017 Dec; 19(12):982-990. PubMed ID: 29091799
[TBL] [Abstract][Full Text] [Related]
8. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
[TBL] [Abstract][Full Text] [Related]
9. ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes.
Liu S; Zhang Y; Shang X; Zhang Z
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33963834
[TBL] [Abstract][Full Text] [Related]
10. Identification of a prognostic chemoresistance-related gene signature associated with immune microenvironment in breast cancer.
Liu M; Li Q; Zhao N
Bioengineered; 2021 Dec; 12(1):8419-8434. PubMed ID: 34661511
[TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a CD8+ T Cell Infiltration-Related Signature for Melanoma Patients.
Yuan Y; Zhu Z; Lan Y; Duan S; Zhu Z; Zhang X; Li G; Qu H; Feng Y; Cai H; Song Z
Front Immunol; 2021; 12():659444. PubMed ID: 34040608
[TBL] [Abstract][Full Text] [Related]
12. Topologically inferring pathway activity for precise survival outcome prediction: breast cancer as a case.
Liu W; Wang W; Tian G; Xie W; Lei L; Liu J; Huang W; Xu L; Li E
Mol Biosyst; 2017 Feb; 13(3):537-548. PubMed ID: 28098303
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of an Individualized Immune Prognostic Signature for Recurrent Prostate Cancer.
Jin Y; Wang L; Lou H; Song C; He X; Ding M
Comb Chem High Throughput Screen; 2021; 24(1):98-108. PubMed ID: 32593277
[TBL] [Abstract][Full Text] [Related]
14. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.
Li J; Cao J; Li P; Yao Z; Deng R; Ying L; Tian J
BMC Cancer; 2021 Jul; 21(1):858. PubMed ID: 34315402
[TBL] [Abstract][Full Text] [Related]
15. Screening and identification of angiogenesis-related genes as potential novel prognostic biomarkers of hepatocellular carcinoma through bioinformatics analysis.
Zhen Z; Shen Z; Hu Y; Sun P
Aging (Albany NY); 2021 Jul; 13(13):17707-17733. PubMed ID: 34252885
[TBL] [Abstract][Full Text] [Related]
16. An outcome model for human bladder cancer: A comprehensive study based on weighted gene co-expression network analysis.
Xiong Y; Yuan L; Xiong J; Xu H; Luo Y; Wang G; Ju L; Xiao Y; Wang X
J Cell Mol Med; 2020 Feb; 24(3):2342-2355. PubMed ID: 31883309
[TBL] [Abstract][Full Text] [Related]
17. The network organization of cancer-associated protein complexes in human tissues.
Zhao J; Lee SH; Huss M; Holme P
Sci Rep; 2013; 3():1583. PubMed ID: 23567845
[TBL] [Abstract][Full Text] [Related]
18. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
[TBL] [Abstract][Full Text] [Related]
19. Exploration of the Tumor Mutational Burden as a Prognostic Biomarker and Related Hub Gene Identification in Prostate Cancer.
Wang L; Yao Y; Xu C; Wang X; Wu D; Hong Z
Technol Cancer Res Treat; 2021; 20():15330338211052154. PubMed ID: 34806485
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive Characterization of RNA Processing Factors in Gastric Cancer Identifies a Prognostic Signature for Predicting Clinical Outcomes and Therapeutic Responses.
Lou S; Meng F; Yin X; Zhang Y; Han B; Xue Y
Front Immunol; 2021; 12():719628. PubMed ID: 34413861
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]