95 related articles for article (PubMed ID: 27657141)
1. Microarray Data Processing Techniques for Genome-Scale Network Inference from Large Public Repositories.
Chockalingam S; Aluru M; Aluru S
Microarrays (Basel); 2016 Sep; 5(3):. PubMed ID: 27657141
[TBL] [Abstract][Full Text] [Related]
2. Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study.
Feltus FA; Ficklin SP; Gibson SM; Smith MC
BMC Syst Biol; 2013 Jun; 7():44. PubMed ID: 23738693
[TBL] [Abstract][Full Text] [Related]
3. EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks.
Aluru M; Shrivastava H; Chockalingam SP; Shivakumar S; Aluru S
Bioinformatics; 2022 Feb; 38(5):1312-1319. PubMed ID: 34888624
[TBL] [Abstract][Full Text] [Related]
4. PlantExpress: A Database Integrating OryzaExpress and ArthaExpress for Single-species and Cross-species Gene Expression Network Analyses with Microarray-Based Transcriptome Data.
Kudo T; Terashima S; Takaki Y; Tomita K; Saito M; Kanno M; Yokoyama K; Yano K
Plant Cell Physiol; 2017 Jan; 58(1):e1. PubMed ID: 28158643
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Reverse engineering and analysis of large genome-scale gene networks.
Aluru M; Zola J; Nettleton D; Aluru S
Nucleic Acids Res; 2013 Jan; 41(1):e24. PubMed ID: 23042249
[TBL] [Abstract][Full Text] [Related]
7. Parallel Mutual Information Based Construction of Genome-Scale Networks on the Intel® Xeon Phi™ Coprocessor.
Misra S; Pamnany K; Aluru S
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1008-20. PubMed ID: 26451815
[TBL] [Abstract][Full Text] [Related]
8. Inferring gene regulatory networks from multiple microarray datasets.
Wang Y; Joshi T; Zhang XS; Xu D; Chen L
Bioinformatics; 2006 Oct; 22(19):2413-20. PubMed ID: 16864593
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. The rules of gene expression in plants: organ identity and gene body methylation are key factors for regulation of gene expression in Arabidopsis thaliana.
Aceituno FF; Moseyko N; Rhee SY; Gutiérrez RA
BMC Genomics; 2008 Sep; 9():438. PubMed ID: 18811951
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. ExpressYourself: A modular platform for processing and visualizing microarray data.
Luscombe NM; Royce TE; Bertone P; Echols N; Horak CE; Chang JT; Snyder M; Gerstein M
Nucleic Acids Res; 2003 Jul; 31(13):3477-82. PubMed ID: 12824348
[TBL] [Abstract][Full Text] [Related]
14.
Zogopoulos VL; Saxami G; Malatras A; Angelopoulou A; Jen CH; Duddy WJ; Daras G; Hatzopoulos P; Westhead DR; Michalopoulos I
iScience; 2021 Aug; 24(8):102848. PubMed ID: 34381973
[TBL] [Abstract][Full Text] [Related]
15. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
Maruschke M; Reuter D; Koczan D; Hakenberg OW; Thiesen HJ
BJU Int; 2011 Jul; 108(2 Pt 2):E29-35. PubMed ID: 21435154
[TBL] [Abstract][Full Text] [Related]
16. Ranking genome-wide correlation measurements improves microarray and RNA-seq based global and targeted co-expression networks.
Liesecke F; Daudu D; Dugé de Bernonville R; Besseau S; Clastre M; Courdavault V; de Craene JO; Crèche J; Giglioli-Guivarc'h N; Glévarec G; Pichon O; Dugé de Bernonville T
Sci Rep; 2018 Jul; 8(1):10885. PubMed ID: 30022075
[TBL] [Abstract][Full Text] [Related]
17. Filter versus wrapper gene selection approaches in DNA microarray domains.
Inza I; Larrañaga P; Blanco R; Cerrolaza AJ
Artif Intell Med; 2004 Jun; 31(2):91-103. PubMed ID: 15219288
[TBL] [Abstract][Full Text] [Related]
18. AtCAST, a tool for exploring gene expression similarities among DNA microarray experiments using networks.
Sasaki E; Takahashi C; Asami T; Shimada Y
Plant Cell Physiol; 2011 Jan; 52(1):169-80. PubMed ID: 21113043
[TBL] [Abstract][Full Text] [Related]
19. Inferring gene expression networks with hubs using a degree weighted Lasso approach.
Sulaimanov N; Kumar S; Burdet F; Ibberson M; Pagni M; Koeppl H
Bioinformatics; 2019 Mar; 35(6):987-994. PubMed ID: 30165436
[TBL] [Abstract][Full Text] [Related]
20. Discovery of core biotic stress responsive genes in Arabidopsis by weighted gene co-expression network analysis.
Amrine KC; Blanco-Ulate B; Cantu D
PLoS One; 2015; 10(3):e0118731. PubMed ID: 25730421
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]