138 related articles for article (PubMed ID: 31856825)
1. Finding prognostic gene pairs for cancer from patient-specific gene networks.
Park B; Lee W; Park I; Han K
BMC Med Genomics; 2019 Dec; 12(Suppl 8):179. PubMed ID: 31856825
[TBL] [Abstract][Full Text] [Related]
2. A New Approach to Deriving Prognostic Gene Pairs From Cancer Patient-Specific Gene Correlation Networks.
Park B; Lee W; Han K
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1267-1276. PubMed ID: 32809942
[TBL] [Abstract][Full Text] [Related]
3. GeneCoNet: A web application server for constructing cancer patient-specific gene correlation networks with prognostic gene pairs.
Park B; Lee W; Han K
Comput Methods Programs Biomed; 2021 Nov; 212():106465. PubMed ID: 34715518
[TBL] [Abstract][Full Text] [Related]
4. Constructing cancer patient-specific and group-specific gene networks with multi-omics data.
Lee W; Huang DS; Han K
BMC Med Genomics; 2020 Aug; 13(Suppl 6):81. PubMed ID: 32854705
[TBL] [Abstract][Full Text] [Related]
5. Identifying prognostic features by bottom-up approach and correlating to drug repositioning.
Li W; Yu J; Lian B; Sun H; Li J; Zhang M; Li L; Li Y; Liu Q; Xie L
PLoS One; 2015; 10(3):e0118672. PubMed ID: 25738841
[TBL] [Abstract][Full Text] [Related]
6. Constructing a Cancer Patient-Specific Network Based on Second-Order Partial Correlations of Gene Expression and DNA Methylation.
Lee W; Lee S; Han K
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):266-276. PubMed ID: 35077366
[TBL] [Abstract][Full Text] [Related]
7. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
Shi X; Wang X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
[TBL] [Abstract][Full Text] [Related]
8. A DNA methylation network interaction measure, and detection of network oncomarkers.
Bartlett TE; Olhede SC; Zaikin A
PLoS One; 2014; 9(1):e84573. PubMed ID: 24400102
[TBL] [Abstract][Full Text] [Related]
9. Network-based biomarkers enhance classical approaches to prognostic gene expression signatures.
Barter RL; Schramm SJ; Mann GJ; Yang YH
BMC Syst Biol; 2014; 8 Suppl 4(Suppl 4):S5. PubMed ID: 25521200
[TBL] [Abstract][Full Text] [Related]
10. Network based stratification of major cancers by integrating somatic mutation and gene expression data.
He Z; Zhang J; Yuan X; Liu Z; Liu B; Tuo S; Liu Y
PLoS One; 2017; 12(5):e0177662. PubMed ID: 28520777
[TBL] [Abstract][Full Text] [Related]
11. GeneNetFinder2: Improved Inference of Dynamic Gene Regulatory Relations with Multiple Regulators.
Han K; Lee J
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(1):4-11. PubMed ID: 26886731
[TBL] [Abstract][Full Text] [Related]
12. G2Vec: Distributed gene representations for identification of cancer prognostic genes.
Choi J; Oh I; Seo S; Ahn J
Sci Rep; 2018 Sep; 8(1):13729. PubMed ID: 30213980
[TBL] [Abstract][Full Text] [Related]
13. Identifying cancer prognostic modules by module network analysis.
Zhou XH; Chu XY; Xue G; Xiong JH; Zhang HY
BMC Bioinformatics; 2019 Feb; 20(1):85. PubMed ID: 30777030
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
15. Conservation of immune gene signatures in solid tumors and prognostic implications.
Chifman J; Pullikuth A; Chou JW; Bedognetti D; Miller LD
BMC Cancer; 2016 Nov; 16(1):911. PubMed ID: 27871313
[TBL] [Abstract][Full Text] [Related]
16. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
Maruschke M; Reuter D; Koczan D; Hakenberg OW; Thiesen HJ
BJU Int; 2011 Jul; 108(2 Pt 2):E29-35. PubMed ID: 21435154
[TBL] [Abstract][Full Text] [Related]
17. General approach to identifying potential targets for cancer imaging by integrated bioinformatics analysis of publicly available genomic profiles.
Yang Y; Adelstein SJ; Kassis AI
Mol Imaging; 2011 Apr; 10(2):123-34. PubMed ID: 21439257
[TBL] [Abstract][Full Text] [Related]
18. Identification of hub subnetwork based on topological features of genes in breast cancer.
Zhuang DY; Jiang L; He QQ; Zhou P; Yue T
Int J Mol Med; 2015 Mar; 35(3):664-74. PubMed ID: 25573623
[TBL] [Abstract][Full Text] [Related]
19. Network Properties of Cancer Prognostic Gene Signatures in the Human Protein Interactome.
Zhang J; Yan S; Jiang C; Ji Z; Wang C; Tian W
Genes (Basel); 2020 Feb; 11(3):. PubMed ID: 32111006
[TBL] [Abstract][Full Text] [Related]
20. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
Khunlertgit N; Yoon BJ
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):351. PubMed ID: 27766944
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]