113 related articles for article (PubMed ID: 22179053)
1. The inference of breast cancer metastasis through gene regulatory networks.
Ahmad FK; Deris S; Othman NH
J Biomed Inform; 2012 Apr; 45(2):350-62. PubMed ID: 22179053
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. An empirical Bayesian method for estimating biological networks from temporal microarray data.
Rau A; Jaffrézic F; Foulley JL; Doerge RW
Stat Appl Genet Mol Biol; 2010; 9():Article 9. PubMed ID: 20196759
[TBL] [Abstract][Full Text] [Related]
4. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
5. A sub-space greedy search method for efficient Bayesian Network inference.
Zhang Q; Cao Y; Li Y; Zhu Y; Sun SS; Guo D
Comput Biol Med; 2011 Sep; 41(9):763-70. PubMed ID: 21741635
[TBL] [Abstract][Full Text] [Related]
6. A multiorganism based method for Bayesian gene network estimation.
Dawy Z; Yaacoub E; Nassar M; Abdallah R; Zeineddine HA
Biosystems; 2011 Mar; 103(3):425-34. PubMed ID: 21168470
[TBL] [Abstract][Full Text] [Related]
7. Integrating protein-protein interaction networks with gene-gene co-expression networks improves gene signatures for classifying breast cancer metastasis.
van den Akker EB; Verbruggen B; Heijmans BT; Beekman M; Kok JN; Slagboom PE; Reinders MJ
J Integr Bioinform; 2011 Dec; 8(2):188. PubMed ID: 22180387
[TBL] [Abstract][Full Text] [Related]
8. Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics.
Aijö T; Lähdesmäki H
Bioinformatics; 2009 Nov; 25(22):2937-44. PubMed ID: 19706742
[TBL] [Abstract][Full Text] [Related]
9. Inferring dynamic genetic networks with low order independencies.
Lèbre S
Stat Appl Genet Mol Biol; 2009; 8():Article 9. PubMed ID: 19222392
[TBL] [Abstract][Full Text] [Related]
10. Estimating sparse gene regulatory networks using a bayesian linear regression.
Sarder P; Schierding W; Cobb JP; Nehorai A
IEEE Trans Nanobioscience; 2010 Jun; 9(2):121-31. PubMed ID: 20650703
[TBL] [Abstract][Full Text] [Related]
11. A canonical correlation analysis-based dynamic bayesian network prior to infer gene regulatory networks from multiple types of biological data.
Baur B; Bozdag S
J Comput Biol; 2015 Apr; 22(4):289-99. PubMed ID: 25844668
[TBL] [Abstract][Full Text] [Related]
12. Reconstruction of large-scale gene regulatory networks using Bayesian model averaging.
Kim H; Gelenbe E
IEEE Trans Nanobioscience; 2012 Sep; 11(3):259-65. PubMed ID: 22987132
[TBL] [Abstract][Full Text] [Related]
13. Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells.
Niida A; Smith AD; Imoto S; Tsutsumi S; Aburatani H; Zhang MQ; Akiyama T
BMC Bioinformatics; 2008 Sep; 9():404. PubMed ID: 18823535
[TBL] [Abstract][Full Text] [Related]
14. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.
Shimamura T; Imoto S; Yamaguchi R; Miyano S
Genome Inform; 2007; 19():142-53. PubMed ID: 18546512
[TBL] [Abstract][Full Text] [Related]
15. Gene expression complex networks: synthesis, identification, and analysis.
Lopes FM; Cesar RM; Costa Lda F
J Comput Biol; 2011 Oct; 18(10):1353-67. PubMed ID: 21548810
[TBL] [Abstract][Full Text] [Related]
16. A hybrid Bayesian network learning method for constructing gene networks.
Wang M; Chen Z; Cloutier S
Comput Biol Chem; 2007 Oct; 31(5-6):361-72. PubMed ID: 17889617
[TBL] [Abstract][Full Text] [Related]
17. Low-order conditional independence graphs for inferring genetic networks.
Wille A; Bühlmann P
Stat Appl Genet Mol Biol; 2006; 5():Article1. PubMed ID: 16646863
[TBL] [Abstract][Full Text] [Related]
18. [Prognostic molecular classification of breast cancers based on gene expression profiling].
Feng YM; Li XQ; Sun BC; Gao XC; Gu L; Niu Y; Hao XS
Zhonghua Zhong Liu Za Zhi; 2006 Dec; 28(12):900-6. PubMed ID: 17533740
[TBL] [Abstract][Full Text] [Related]
19. A Markov random field model for network-based analysis of genomic data.
Wei Z; Li H
Bioinformatics; 2007 Jun; 23(12):1537-44. PubMed ID: 17483504
[TBL] [Abstract][Full Text] [Related]
20. Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach.
Lancashire LJ; Rees RC; Ball GR
Artif Intell Med; 2008 Jun; 43(2):99-111. PubMed ID: 18420392
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
