139 related articles for article (PubMed ID: 27342572)
1. Consistency of biological networks inferred from microarray and sequencing data.
Vinciotti V; Wit EC; Jansen R; de Geus EJ; Penninx BW; Boomsma DI; 't Hoen PA
BMC Bioinformatics; 2016 Jun; 17():254. PubMed ID: 27342572
[TBL] [Abstract][Full Text] [Related]
2. MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data.
Yang B; Xu Y; Maxwell A; Koh W; Gong P; Zhang C
BMC Syst Biol; 2018 Dec; 12(Suppl 7):115. PubMed ID: 30547796
[TBL] [Abstract][Full Text] [Related]
3. Learning gene regulatory networks from next generation sequencing data.
Jia B; Xu S; Xiao G; Lamba V; Liang F
Biometrics; 2017 Dec; 73(4):1221-1230. PubMed ID: 28294287
[TBL] [Abstract][Full Text] [Related]
4. Gaussian graphical model for identifying significantly responsive regulatory networks from time course high-throughput data.
Liu ZP; Zhang W; Horimoto K; Chen L
IET Syst Biol; 2013 Oct; 7(5):143-52. PubMed ID: 24067414
[TBL] [Abstract][Full Text] [Related]
5. Regularized estimation of large-scale gene association networks using graphical Gaussian models.
Krämer N; Schäfer J; Boulesteix AL
BMC Bioinformatics; 2009 Nov; 10():384. PubMed ID: 19930695
[TBL] [Abstract][Full Text] [Related]
6. Utilizing RNA-Seq data for de novo coexpression network inference.
Iancu OD; Kawane S; Bottomly D; Searles R; Hitzemann R; McWeeney S
Bioinformatics; 2012 Jun; 28(12):1592-7. PubMed ID: 22556371
[TBL] [Abstract][Full Text] [Related]
7. STARNET 2: a web-based tool for accelerating discovery of gene regulatory networks using microarray co-expression data.
Jupiter D; Chen H; VanBuren V
BMC Bioinformatics; 2009 Oct; 10():332. PubMed ID: 19828039
[TBL] [Abstract][Full Text] [Related]
8. Gene network inference by fusing data from diverse distributions.
Žitnik M; Zupan B
Bioinformatics; 2015 Jun; 31(12):i230-9. PubMed ID: 26072487
[TBL] [Abstract][Full Text] [Related]
9. Node-based learning of differential networks from multi-platform gene expression data.
Ou-Yang L; Zhang XF; Wu M; Li XL
Methods; 2017 Oct; 129():41-49. PubMed ID: 28579401
[TBL] [Abstract][Full Text] [Related]
10. A Local Poisson Graphical Model for inferring networks from sequencing data.
Allen GI; Liu Z
IEEE Trans Nanobioscience; 2013 Sep; 12(3):189-98. PubMed ID: 23955777
[TBL] [Abstract][Full Text] [Related]
11. Identifying significant genetic regulatory networks in the prostate cancer from microarray data based on transcription factor analysis and conditional independency.
Yeh HY; Cheng SW; Lin YC; Yeh CY; Lin SF; Soo VW
BMC Med Genomics; 2009 Dec; 2():70. PubMed ID: 20025723
[TBL] [Abstract][Full Text] [Related]
12. Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets.
Steele E; Tucker A
J Biomed Inform; 2008 Dec; 41(6):914-26. PubMed ID: 18337190
[TBL] [Abstract][Full Text] [Related]
13. Predicting gene regulatory networks of soybean nodulation from RNA-Seq transcriptome data.
Zhu M; Dahmen JL; Stacey G; Cheng J
BMC Bioinformatics; 2013 Sep; 14():278. PubMed ID: 24053776
[TBL] [Abstract][Full Text] [Related]
14. Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO.
Zuo Y; Cui Y; Yu G; Li R; Ressom HW
BMC Bioinformatics; 2017 Feb; 18(1):99. PubMed ID: 28187708
[TBL] [Abstract][Full Text] [Related]
15. Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data.
de Matos Simoes R; Dalleau S; Williamson KE; Emmert-Streib F
BMC Syst Biol; 2015 May; 9():21. PubMed ID: 25971253
[TBL] [Abstract][Full Text] [Related]
16. A network inference workflow applied to virulence-related processes in Salmonella typhimurium.
Taylor RC; Singhal M; Weller J; Khoshnevis S; Shi L; McDermott J
Ann N Y Acad Sci; 2009 Mar; 1158():143-58. PubMed ID: 19348639
[TBL] [Abstract][Full Text] [Related]
17. SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks.
Zhang R; Ren Z; Chen W
PLoS Comput Biol; 2018 Aug; 14(8):e1006369. PubMed ID: 30102702
[TBL] [Abstract][Full Text] [Related]
18. Comparative study of RNA-seq- and microarray-derived coexpression networks in Arabidopsis thaliana.
Giorgi FM; Del Fabbro C; Licausi F
Bioinformatics; 2013 Mar; 29(6):717-24. PubMed ID: 23376351
[TBL] [Abstract][Full Text] [Related]
19. Inferring gene regulatory networks from asynchronous microarray data with AIRnet.
Oviatt D; Clement M; Snell Q; Sundberg K; Lai CW; Allen J; Roper R
BMC Genomics; 2010 Nov; 11 Suppl 2(Suppl 2):S6. PubMed ID: 21047387
[TBL] [Abstract][Full Text] [Related]
20. Cross-platform microarray data normalisation for regulatory network inference.
Sîrbu A; Ruskin HJ; Crane M
PLoS One; 2010 Nov; 5(11):e13822. PubMed ID: 21103045
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
