144 related articles for article (PubMed ID: 23221088)
21. Gene interaction networks based on kernel correlation metrics.
Cheng L; Khorasani K; Ding Y; Guo X
Int J Comput Biol Drug Des; 2013; 6(1-2):72-92. PubMed ID: 23428475
[TBL] [Abstract][Full Text] [Related]
22. A novel candidate disease genes prioritization method based on module partition and rank fusion.
Chen X; Yan GY; Liao XP
OMICS; 2010 Aug; 14(4):337-56. PubMed ID: 20726795
[TBL] [Abstract][Full Text] [Related]
23. An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Valentini G; Paccanaro A; Caniza H; Romero AE; Re M
Artif Intell Med; 2014 Jun; 61(2):63-78. PubMed ID: 24726035
[TBL] [Abstract][Full Text] [Related]
24. RANKS: a flexible tool for node label ranking and classification in biological networks.
Valentini G; Armano G; Frasca M; Lin J; Mesiti M; Re M
Bioinformatics; 2016 Sep; 32(18):2872-4. PubMed ID: 27256314
[TBL] [Abstract][Full Text] [Related]
25. Exploitation of genetic interaction network topology for the prediction of epistatic behavior.
Alanis-Lobato G; Cannistraci CV; Ravasi T
Genomics; 2013 Oct; 102(4):202-8. PubMed ID: 23892246
[TBL] [Abstract][Full Text] [Related]
26. A comprehensive performance evaluation on the prediction results of existing cooperative transcription factors identification algorithms.
Lai FJ; Chang HT; Huang YM; Wu WS
BMC Syst Biol; 2014; 8 Suppl 4(Suppl 4):S9. PubMed ID: 25521604
[TBL] [Abstract][Full Text] [Related]
27. SAGA: a hybrid search algorithm for Bayesian Network structure learning of transcriptional regulatory networks.
Adabor ES; Acquaah-Mensah GK; Oduro FT
J Biomed Inform; 2015 Feb; 53():27-35. PubMed ID: 25181467
[TBL] [Abstract][Full Text] [Related]
28. Gene Regulatory Network Inferences Using a Maximum-Relevance and Maximum-Significance Strategy.
Liu W; Zhu W; Liao B; Chen X
PLoS One; 2016; 11(11):e0166115. PubMed ID: 27829000
[TBL] [Abstract][Full Text] [Related]
29. Inferring gene regulatory networks via nonlinear state-space models and exploiting sparsity.
Noor A; Serpedin E; Nounou M; Nounou HN
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(4):1203-11. PubMed ID: 22350207
[TBL] [Abstract][Full Text] [Related]
30. A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion.
Joodaki M; Ghadiri N; Maleki Z; Lotfi Shahreza M
J Biomed Inform; 2021 Mar; 115():103688. PubMed ID: 33545331
[TBL] [Abstract][Full Text] [Related]
31. Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction.
Gliozzo J; Perlasca P; Mesiti M; Casiraghi E; Vallacchi V; Vergani E; Frasca M; Grossi G; Petrini A; Re M; Paccanaro A; Valentini G
Sci Rep; 2020 Feb; 10(1):3612. PubMed ID: 32107391
[TBL] [Abstract][Full Text] [Related]
32. Predicting node characteristics from molecular networks.
Mostafavi S; Goldenberg A; Morris Q
Methods Mol Biol; 2011; 781():399-414. PubMed ID: 21877293
[TBL] [Abstract][Full Text] [Related]
33. Influence of prior knowledge in constraint-based learning of gene regulatory networks.
Tan M; Alshalalfa M; Alhajj R; Polat F
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):130-42. PubMed ID: 21071802
[TBL] [Abstract][Full Text] [Related]
34. Integrating Multiple Interaction Networks for Gene Function Inference.
Zhang J; Deng L
Molecules; 2018 Dec; 24(1):. PubMed ID: 30577643
[TBL] [Abstract][Full Text] [Related]
35. Integrating multiple networks for protein function prediction.
Yu G; Zhu H; Domeniconi C; Guo M
BMC Syst Biol; 2015; 9 Suppl 1(Suppl 1):S3. PubMed ID: 25707434
[TBL] [Abstract][Full Text] [Related]
36. Gene function prediction from synthetic lethality networks via ranking on demand.
Lippert C; Ghahramani Z; Borgwardt KM
Bioinformatics; 2010 Apr; 26(7):912-8. PubMed ID: 20154010
[TBL] [Abstract][Full Text] [Related]
37. Bridge and brick network motifs: identifying significant building blocks from complex biological systems.
Huang CY; Cheng CY; Sun CT
Artif Intell Med; 2007 Oct; 41(2):117-27. PubMed ID: 17825540
[TBL] [Abstract][Full Text] [Related]
38. Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm.
Wang M; Augusto Benedito V; Xuechun Zhao P; Udvardi M
Mol Biosyst; 2010 Jun; 6(6):988-98. PubMed ID: 20485743
[TBL] [Abstract][Full Text] [Related]
39. Gene function prediction with gene interaction networks: a context graph kernel approach.
Li X; Chen H; Li J; Zhang Z
IEEE Trans Inf Technol Biomed; 2010 Jan; 14(1):119-28. PubMed ID: 19789115
[TBL] [Abstract][Full Text] [Related]
40. Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.
Han C; Chen J; Wu Q; Mu S; Min H
J Bioinform Comput Biol; 2015 Oct; 13(5):1543001. PubMed ID: 26493682
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
