These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
99 related articles for article (PubMed ID: 27723507)
1. Improving information retrieval in functional analysis. Rodriguez JC; González GA; Fresno C; Llera AS; Fernández EA Comput Biol Med; 2016 Dec; 79():10-20. PubMed ID: 27723507 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Improving Gene-Set Enrichment Analysis of RNA-Seq Data with Small Replicates. Yoon S; Kim SY; Nam D PLoS One; 2016; 11(11):e0165919. PubMed ID: 27829002 [TBL] [Abstract][Full Text] [Related]
4. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue. Chen Z; Li J; Wei L Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055 [TBL] [Abstract][Full Text] [Related]
9. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. Kim D; Li R; Dudek SM; Ritchie MD J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077 [TBL] [Abstract][Full Text] [Related]
10. Assessment of Gene Set Enrichment Analysis using curated RNA-seq-based benchmarks. Candia J; Ferrucci L PLoS One; 2024; 19(5):e0302696. PubMed ID: 38753612 [TBL] [Abstract][Full Text] [Related]
11. How to decide which are the most pertinent overly-represented features during gene set enrichment analysis. Barriot R; Sherman DJ; Dutour I BMC Bioinformatics; 2007 Sep; 8():332. PubMed ID: 17848190 [TBL] [Abstract][Full Text] [Related]
12. Appearance frequency modulated gene set enrichment testing. Ma J; Sartor MA; Jagadish HV BMC Bioinformatics; 2011 Mar; 12():81. PubMed ID: 21418606 [TBL] [Abstract][Full Text] [Related]
13. A scalable method for integration and functional analysis of multiple microarray datasets. Huttenhower C; Hibbs M; Myers C; Troyanskaya OG Bioinformatics; 2006 Dec; 22(23):2890-7. PubMed ID: 17005538 [TBL] [Abstract][Full Text] [Related]
14. AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data. Lu G; Nguyen TV; Xia Y; Fromm M BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S26. PubMed ID: 17217519 [TBL] [Abstract][Full Text] [Related]
15. Concordant integrative gene set enrichment analysis of multiple large-scale two-sample expression data sets. Lai Y; Zhang F; Nayak TK; Modarres R; Lee NH; McCaffrey TA BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S6. PubMed ID: 24564564 [TBL] [Abstract][Full Text] [Related]
16. Towards precise classification of cancers based on robust gene functional expression profiles. Guo Z; Zhang T; Li X; Wang Q; Xu J; Yu H; Zhu J; Wang H; Wang C; Topol EJ; Wang Q; Rao S BMC Bioinformatics; 2005 Mar; 6():58. PubMed ID: 15774002 [TBL] [Abstract][Full Text] [Related]
17. The latent process decomposition of cDNA microarray data sets. Rogers S; Girolami M; Campbell C; Breitling R IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):143-56. PubMed ID: 17044179 [TBL] [Abstract][Full Text] [Related]