241 related articles for article (PubMed ID: 16780584)
21. ADGO: analysis of differentially expressed gene sets using composite GO annotation.
Nam D; Kim SB; Kim SK; Yang S; Kim SY; Chu IS
Bioinformatics; 2006 Sep; 22(18):2249-53. PubMed ID: 16837524
[TBL] [Abstract][Full Text] [Related]
22. ECR Browser: a tool for visualizing and accessing data from comparisons of multiple vertebrate genomes.
Ovcharenko I; Nobrega MA; Loots GG; Stubbs L
Nucleic Acids Res; 2004 Jul; 32(Web Server issue):W280-6. PubMed ID: 15215395
[TBL] [Abstract][Full Text] [Related]
23. Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data.
Rambaldi D; Felice B; Praz V; Bucher P; Cittaro D; Guffanti A
BMC Bioinformatics; 2007 Mar; 8 Suppl 1(Suppl 1):S17. PubMed ID: 17430561
[TBL] [Abstract][Full Text] [Related]
24. Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages.
Li J; Halgamuge SK; Kells CI; Tang SL
BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S6. PubMed ID: 17570149
[TBL] [Abstract][Full Text] [Related]
25. FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.
Al-Shahrour F; Minguez P; Tárraga J; Medina I; Alloza E; Montaner D; Dopazo J
Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W91-6. PubMed ID: 17478504
[TBL] [Abstract][Full Text] [Related]
26. Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis.
Nettleton D; Recknor J; Reecy JM
Bioinformatics; 2008 Jan; 24(2):192-201. PubMed ID: 18042553
[TBL] [Abstract][Full Text] [Related]
27. [Relativity of gene expression and co-regulated gene patterns in feature KEGG pathways].
Hua L; Zheng W; Liu H; Lin H; Gao L
Sheng Wu Gong Cheng Xue Bao; 2008 Sep; 24(9):1643-8. PubMed ID: 19160850
[TBL] [Abstract][Full Text] [Related]
28. Statistical assessment of functional categories of genes deregulated in pathological conditions by using microarray data.
Maglietta R; Piepoli A; Catalano D; Licciulli F; Carella M; Liuni S; Pesole G; Perri F; Ancona N
Bioinformatics; 2007 Aug; 23(16):2063-72. PubMed ID: 17540679
[TBL] [Abstract][Full Text] [Related]
29. From genes to functional classes in the study of biological systems.
Al-Shahrour F; Arbiza L; Dopazo H; Huerta-Cepas J; Mínguez P; Montaner D; Dopazo J
BMC Bioinformatics; 2007 Apr; 8():114. PubMed ID: 17407596
[TBL] [Abstract][Full Text] [Related]
30. A new method for class prediction based on signed-rank algorithms applied to Affymetrix microarray experiments.
Rème T; Hose D; De Vos J; Vassal A; Poulain PO; Pantesco V; Goldschmidt H; Klein B
BMC Bioinformatics; 2008 Jan; 9():16. PubMed ID: 18190711
[TBL] [Abstract][Full Text] [Related]
31. Genome-wide decoding of hierarchical modular structure of transcriptional regulation by cis-element and expression clustering.
Leyfer D; Weng Z
Bioinformatics; 2005 Sep; 21 Suppl 2():ii197-203. PubMed ID: 16204103
[TBL] [Abstract][Full Text] [Related]
32. Constraint-based knowledge discovery from SAGE data.
Klémal J; Blachon S; Soulet A; Crémilleux B; Gandrillon O
In Silico Biol; 2008; 8(2):157-75. PubMed ID: 18928203
[TBL] [Abstract][Full Text] [Related]
33. Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis data.
Kim SY; Kim Y
BMC Bioinformatics; 2006 Jul; 7():330. PubMed ID: 16817975
[TBL] [Abstract][Full Text] [Related]
34. ArrayFusion: a web application for multi-dimensional analysis of CGH, SNP and microarray data.
Yang TP; Chang TY; Lin CH; Hsu MT; Wang HW
Bioinformatics; 2006 Nov; 22(21):2697-8. PubMed ID: 16935928
[TBL] [Abstract][Full Text] [Related]
35. Detection of chromosomal regions showing differential gene expression in human skeletal muscle and in alveolar rhabdomyosarcoma.
Bisognin A; Bortoluzzi S; Danieli GA
BMC Bioinformatics; 2004 Jun; 5():68. PubMed ID: 15176974
[TBL] [Abstract][Full Text] [Related]
36. Cross platform microarray analysis for robust identification of differentially expressed genes.
Bosotti R; Locatelli G; Healy S; Scacheri E; Sartori L; Mercurio C; Calogero R; Isacchi A
BMC Bioinformatics; 2007 Mar; 8 Suppl 1(Suppl 1):S5. PubMed ID: 17430572
[TBL] [Abstract][Full Text] [Related]
37. Microarray data mining using gene ontology.
Li S; Becich MJ; Gilbertson J
Stud Health Technol Inform; 2004; 107(Pt 2):778-82. PubMed ID: 15360918
[TBL] [Abstract][Full Text] [Related]
38. High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).
Zeeberg BR; Qin H; Narasimhan S; Sunshine M; Cao H; Kane DW; Reimers M; Stephens RM; Bryant D; Burt SK; Elnekave E; Hari DM; Wynn TA; Cunningham-Rundles C; Stewart DM; Nelson D; Weinstein JN
BMC Bioinformatics; 2005 Jul; 6():168. PubMed ID: 15998470
[TBL] [Abstract][Full Text] [Related]
39. More robust detection of motifs in coexpressed genes by using phylogenetic information.
Monsieurs P; Thijs G; Fadda AA; De Keersmaecker SC; Vanderleyden J; De Moor B; Marchal K
BMC Bioinformatics; 2006 Mar; 7():160. PubMed ID: 16549017
[TBL] [Abstract][Full Text] [Related]
40. BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments.
Al-Shahrour F; Minguez P; Vaquerizas JM; Conde L; Dopazo J
Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W460-4. PubMed ID: 15980512
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
