231 related articles for article (PubMed ID: 28361678)
1. DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks.
Liu X; Yang Z; Lin H; Simmons M; Lu Z
BMC Syst Biol; 2017 Mar; 11(Suppl 3):23. PubMed ID: 28361678
[TBL] [Abstract][Full Text] [Related]
2. Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks.
Li M; Li Q; Ganegoda GU; Wang J; Wu F; Pan Y
Sci China Life Sci; 2014 Nov; 57(11):1064-71. PubMed ID: 25326068
[TBL] [Abstract][Full Text] [Related]
3. A vertex similarity-based framework to discover and rank orphan disease-related genes.
Zhu C; Kushwaha A; Berman K; Jegga AG
BMC Syst Biol; 2012; 6 Suppl 3(Suppl 3):S8. PubMed ID: 23281592
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information.
Tang X; Hu X; Yang X; Fan Y; Li Y; Hu W; Liao Y; Zheng MC; Peng W; Gao L
BMC Genomics; 2016 Aug; 17 Suppl 4(Suppl 4):433. PubMed ID: 27535125
[TBL] [Abstract][Full Text] [Related]
6. PICKLE 2.0: A human protein-protein interaction meta-database employing data integration via genetic information ontology.
Gioutlakis A; Klapa MI; Moschonas NK
PLoS One; 2017; 12(10):e0186039. PubMed ID: 29023571
[TBL] [Abstract][Full Text] [Related]
7. Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities.
Fernando PC; Mabee PM; Zeng E
BMC Bioinformatics; 2020 Oct; 21(1):442. PubMed ID: 33028186
[TBL] [Abstract][Full Text] [Related]
8. Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data.
Luo J; Liang S
J Biomed Inform; 2015 Feb; 53():229-36. PubMed ID: 25460206
[TBL] [Abstract][Full Text] [Related]
9. L-GRAAL: Lagrangian graphlet-based network aligner.
Malod-Dognin N; Pržulj N
Bioinformatics; 2015 Jul; 31(13):2182-9. PubMed ID: 25725498
[TBL] [Abstract][Full Text] [Related]
10. Using the Gene Ontology tool to produce de novo protein-protein interaction networks with IS_A relationship.
Oliveira GS; Santos AR
Genet Mol Res; 2016 Dec; 15(4):. PubMed ID: 28002604
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. From communities to protein complexes: A local community detection algorithm on PPI networks.
Dilmaghani S; Brust MR; Ribeiro CHC; Kieffer E; Danoy G; Bouvry P
PLoS One; 2022; 17(1):e0260484. PubMed ID: 35085263
[TBL] [Abstract][Full Text] [Related]
13. Candidate gene discovery and prioritization in rare diseases.
Jegga AG
Methods Mol Biol; 2014; 1168():295-312. PubMed ID: 24870143
[TBL] [Abstract][Full Text] [Related]
14. Prioritization of candidate disease genes by combining topological similarity and semantic similarity.
Liu B; Jin M; Zeng P
J Biomed Inform; 2015 Oct; 57():1-5. PubMed ID: 26173039
[TBL] [Abstract][Full Text] [Related]
15. Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach.
Zhang W; Sun F; Jiang R
BMC Bioinformatics; 2011 Feb; 12 Suppl 1(Suppl 1):S11. PubMed ID: 21342540
[TBL] [Abstract][Full Text] [Related]
16. Prioritizing disease genes with an improved dual label propagation framework.
Zhang Y; Liu J; Liu X; Fan X; Hong Y; Wang Y; Huang Y; Xie M
BMC Bioinformatics; 2018 Feb; 19(1):47. PubMed ID: 29422030
[TBL] [Abstract][Full Text] [Related]
17. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
Zhang Y; Lin H; Yang Z; Wang J
BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
[TBL] [Abstract][Full Text] [Related]
18. C-GRAAL: common-neighbors-based global GRAph ALignment of biological networks.
Memišević V; Pržulj N
Integr Biol (Camb); 2012 Jul; 4(7):734-43. PubMed ID: 22234340
[TBL] [Abstract][Full Text] [Related]
19. A New Method for Identifying Essential Proteins by Measuring Co-Expression and Functional Similarity.
Zhang W; Xu J; Li X; Zou X
IEEE Trans Nanobioscience; 2016 Dec; 15(8):939-945. PubMed ID: 27834650
[TBL] [Abstract][Full Text] [Related]
20. A New Method for Detecting Protein Complexes based on the Three Node Cliques.
Zhang W; Zou X
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(4):879-86. PubMed ID: 26357329
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]