370 related articles for article (PubMed ID: 27694195)
1. Combining multiple tools outperforms individual methods in gene set enrichment analyses.
Alhamdoosh M; Ng M; Wilson NJ; Sheridan JM; Huynh H; Wilson MJ; Ritchie ME
Bioinformatics; 2017 Feb; 33(3):414-424. PubMed ID: 27694195
[TBL] [Abstract][Full Text] [Related]
2. CGPS: A machine learning-based approach integrating multiple gene set analysis tools for better prioritization of biologically relevant pathways.
Ai C; Kong L
J Genet Genomics; 2018 Sep; 45(9):489-504. PubMed ID: 30292791
[TBL] [Abstract][Full Text] [Related]
3. Easy and efficient ensemble gene set testing with EGSEA.
Alhamdoosh M; Law CW; Tian L; Sheridan JM; Ng M; Ritchie ME
F1000Res; 2017; 6():2010. PubMed ID: 29333246
[TBL] [Abstract][Full Text] [Related]
4. QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data.
Zhang Y; Xie J; Yang J; Fennell A; Zhang C; Ma Q
Bioinformatics; 2017 Feb; 33(3):450-452. PubMed ID: 28172469
[TBL] [Abstract][Full Text] [Related]
5. Testing gene set enrichment for subset of genes: Sub-GSE.
Yan X; Sun F
BMC Bioinformatics; 2008 Sep; 9():362. PubMed ID: 18764941
[TBL] [Abstract][Full Text] [Related]
6. Glimma: interactive graphics for gene expression analysis.
Su S; Law CW; Ah-Cann C; Asselin-Labat ML; Blewitt ME; Ritchie ME
Bioinformatics; 2017 Jul; 33(13):2050-2052. PubMed ID: 28203714
[TBL] [Abstract][Full Text] [Related]
7. Polyester: simulating RNA-seq datasets with differential transcript expression.
Frazee AC; Jaffe AE; Langmead B; Leek JT
Bioinformatics; 2015 Sep; 31(17):2778-84. PubMed ID: 25926345
[TBL] [Abstract][Full Text] [Related]
8. DOSE: an R/Bioconductor package for disease ontology semantic and enrichment analysis.
Yu G; Wang LG; Yan GR; He QY
Bioinformatics; 2015 Feb; 31(4):608-9. PubMed ID: 25677125
[TBL] [Abstract][Full Text] [Related]
9. Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series.
Nueda MJ; Tarazona S; Conesa A
Bioinformatics; 2014 Sep; 30(18):2598-602. PubMed ID: 24894503
[TBL] [Abstract][Full Text] [Related]
10. Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.
Ma S; Jiang T; Jiang R
Bioinformatics; 2015 Feb; 31(4):563-71. PubMed ID: 25322838
[TBL] [Abstract][Full Text] [Related]
11. GSVA: gene set variation analysis for microarray and RNA-seq data.
Hänzelmann S; Castelo R; Guinney J
BMC Bioinformatics; 2013 Jan; 14():7. PubMed ID: 23323831
[TBL] [Abstract][Full Text] [Related]
12. TissueEnrich: Tissue-specific gene enrichment analysis.
Jain A; Tuteja G
Bioinformatics; 2019 Jun; 35(11):1966-1967. PubMed ID: 30346488
[TBL] [Abstract][Full Text] [Related]
13. Importing ArrayExpress datasets into R/Bioconductor.
Kauffmann A; Rayner TF; Parkinson H; Kapushesky M; Lukk M; Brazma A; Huber W
Bioinformatics; 2009 Aug; 25(16):2092-4. PubMed ID: 19505942
[TBL] [Abstract][Full Text] [Related]
14. DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.
Vrahatis AG; Balomenos P; Tsakalidis AK; Bezerianos A
Bioinformatics; 2016 Dec; 32(24):3844-3846. PubMed ID: 27542770
[TBL] [Abstract][Full Text] [Related]
15. RNASeqGUI: a GUI for analysing RNA-Seq data.
Russo F; Angelini C
Bioinformatics; 2014 Sep; 30(17):2514-6. PubMed ID: 24812338
[TBL] [Abstract][Full Text] [Related]
16. BubbleGUM: automatic extraction of phenotype molecular signatures and comprehensive visualization of multiple Gene Set Enrichment Analyses.
Spinelli L; Carpentier S; Montañana Sanchis F; Dalod M; Vu Manh TP
BMC Genomics; 2015 Oct; 16():814. PubMed ID: 26481321
[TBL] [Abstract][Full Text] [Related]
17. SpeCond: a method to detect condition-specific gene expression.
Cavalli FM; Bourgon R; Vaquerizas JM; Luscombe NM
Genome Biol; 2011 Oct; 12(10):R101. PubMed ID: 22008066
[TBL] [Abstract][Full Text] [Related]
18. Calculation of reliable transcript levels of annotated genes on the basis of multiple probe-sets in Affymetrix microarrays.
Jaksik R; Polańska J; Herok R; Rzeszowska-Wolny J
Acta Biochim Pol; 2009; 56(2):271-7. PubMed ID: 19436837
[TBL] [Abstract][Full Text] [Related]
19. Seq2pathway: an R/Bioconductor package for pathway analysis of next-generation sequencing data.
Wang B; Cunningham JM; Yang XH
Bioinformatics; 2015 Sep; 31(18):3043-5. PubMed ID: 25979472
[TBL] [Abstract][Full Text] [Related]
20. SeqGSEA: a Bioconductor package for gene set enrichment analysis of RNA-Seq data integrating differential expression and splicing.
Wang X; Cairns MJ
Bioinformatics; 2014 Jun; 30(12):1777-9. PubMed ID: 24535097
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
