180 related articles for article (PubMed ID: 28472169)
1. Identifying novel fruit-related genes in Arabidopsis thaliana based on the random walk with restart algorithm.
Zhang Y; Dai L; Liu Y; Zhang Y; Wang S
PLoS One; 2017; 12(5):e0177017. PubMed ID: 28472169
[TBL] [Abstract][Full Text] [Related]
2. A Shortest-Path-Based Method for the Analysis and Prediction of Fruit-Related Genes in Arabidopsis thaliana.
Zhu L; Zhang YH; Su F; Chen L; Huang T; Cai YD
PLoS One; 2016; 11(7):e0159519. PubMed ID: 27434024
[TBL] [Abstract][Full Text] [Related]
3. Network-based method for mining novel HPV infection related genes using random walk with restart algorithm.
Zhu L; Su F; Xu Y; Zou Q
Biochim Biophys Acta Mol Basis Dis; 2018 Jun; 1864(6 Pt B):2376-2383. PubMed ID: 29197659
[TBL] [Abstract][Full Text] [Related]
4. Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein-protein interaction network.
Zhang J; Suo Y; Liu M; Xu X
Biochim Biophys Acta Mol Basis Dis; 2018 Jun; 1864(6 Pt B):2369-2375. PubMed ID: 29237571
[TBL] [Abstract][Full Text] [Related]
5. A network-based method using a random walk with restart algorithm and screening tests to identify novel genes associated with Menière's disease.
Li L; Wang Y; An L; Kong X; Huang T
PLoS One; 2017; 12(8):e0182592. PubMed ID: 28787010
[TBL] [Abstract][Full Text] [Related]
6. A computational method using the random walk with restart algorithm for identifying novel epigenetic factors.
Li J; Chen L; Wang S; Zhang Y; Kong X; Huang T; Cai YD
Mol Genet Genomics; 2018 Feb; 293(1):293-301. PubMed ID: 28932904
[TBL] [Abstract][Full Text] [Related]
7. Identification of New Candidate Genes and Chemicals Related to Esophageal Cancer Using a Hybrid Interaction Network of Chemicals and Proteins.
Gao YF; Yuan F; Liu J; Li LP; He YC; Gao RJ; Cai YD; Jiang Y
PLoS One; 2015; 10(6):e0129474. PubMed ID: 26058041
[TBL] [Abstract][Full Text] [Related]
8. Determination of Genes Related to Uveitis by Utilization of the Random Walk with Restart Algorithm on a Protein-Protein Interaction Network.
Lu S; Yan Y; Li Z; Chen L; Yang J; Zhang Y; Wang S; Liu L
Int J Mol Sci; 2017 May; 18(5):. PubMed ID: 28505077
[TBL] [Abstract][Full Text] [Related]
9. Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms.
Kurubanjerdjit N; Huang CH; Lee YL; Tsai JJ; Ng KL
Comput Biol Med; 2013 Nov; 43(11):1645-52. PubMed ID: 24209909
[TBL] [Abstract][Full Text] [Related]
10. Drawing lines and borders: how the dehiscent fruit of Arabidopsis is patterned.
Dinneny JR; Yanofsky MF
Bioessays; 2005 Jan; 27(1):42-9. PubMed ID: 15612035
[TBL] [Abstract][Full Text] [Related]
11. Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network.
Lin L; Yang T; Fang L; Yang J; Yang F; Zhao J
BMC Syst Biol; 2017 Dec; 11(1):121. PubMed ID: 29212543
[TBL] [Abstract][Full Text] [Related]
12. A Random Walk-Based Method to Identify Candidate Genes Associated With Lymphoma.
Sheng M; Cai H; Yang Q; Li J; Zhang J; Liu L
Front Genet; 2021; 12():792754. PubMed ID: 34899868
[TBL] [Abstract][Full Text] [Related]
13. Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms.
Chen L; Zhang YH; Zhang Z; Huang T; Cai YD
Mol Ther Methods Clin Dev; 2018 Sep; 10():57-67. PubMed ID: 30069494
[TBL] [Abstract][Full Text] [Related]
14. Mining disease genes using integrated protein-protein interaction and gene-gene co-regulation information.
Li J; Wang L; Guo M; Zhang R; Dai Q; Liu X; Wang C; Teng Z; Xuan P; Zhang M
FEBS Open Bio; 2015; 5():251-6. PubMed ID: 25870785
[TBL] [Abstract][Full Text] [Related]
15. Genes underlying quantitative variation in ecologically important traits: PIF4 (phytochrome interacting factor 4) is associated with variation in internode length, flowering time, and fruit set in Arabidopsis thaliana.
Brock MT; Maloof JN; Weinig C
Mol Ecol; 2010 Mar; 19(6):1187-99. PubMed ID: 20456226
[TBL] [Abstract][Full Text] [Related]
16. Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression.
Zhang SW; Shao DD; Zhang SY; Wang YB
Mol Biosyst; 2014 Jun; 10(6):1400-8. PubMed ID: 24695957
[TBL] [Abstract][Full Text] [Related]
17. PageRank-based identification of signaling crosstalk from transcriptomics data: the case of Arabidopsis thaliana.
Omranian N; Mueller-Roeber B; Nikoloski Z
Mol Biosyst; 2012 Apr; 8(4):1121-7. PubMed ID: 22327945
[TBL] [Abstract][Full Text] [Related]
18. Identifying and Analyzing Novel Epilepsy-Related Genes Using Random Walk with Restart Algorithm.
Guo W; Shang DM; Cao JH; Feng K; He YC; Jiang Y; Wang S; Gao YF
Biomed Res Int; 2017; 2017():6132436. PubMed ID: 28255556
[TBL] [Abstract][Full Text] [Related]
19. AraNet: A Network Biology Server for Arabidopsis thaliana and Other Non-Model Plant Species.
Lee T; Lee I
Methods Mol Biol; 2017; 1629():225-238. PubMed ID: 28623589
[TBL] [Abstract][Full Text] [Related]
20. LASSO modeling of the Arabidopsis thaliana seed/seedling transcriptome: a model case for detection of novel mucilage and pectin metabolism genes.
Vasilevski A; Giorgi FM; Bertinetti L; Usadel B
Mol Biosyst; 2012 Oct; 8(10):2566-74. PubMed ID: 22735692
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
