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Results: 1 to 20 of 211

1.

High throughput gene expression profiling: a molecular approach to integrative physiology.

Liang M, Cowley AW, Greene AS.

J Physiol. 2004 Jan 1;554(Pt 1):22-30. Review.PMID: 14678487 [PubMed - indexed for MEDLINE]Related articlesFree article

2.

Transcriptome analysis and kidney research: toward systems biology.

Liang M, Cowley AW Jr, Hessner MJ, Lazar J, Basile DP, Pietrusz JL.

Kidney Int. 2005 Jun;67(6):2114-22. Review.PMID: 15882254 [PubMed - indexed for MEDLINE]Related articles

3.

Rationale and study design of the CardioGene Study: genomics of in-stent restenosis.

Ganesh SK, Skelding KA, Mehta L, O'Neill K, Joo J, Zheng G, Goldstein J, Simari R, Billings E, Geller NL, Holmes D, O'Neill WW, Nabel EG.

Pharmacogenomics. 2004 Oct;5(7):952-1004.PMID: 15469413 [PubMed - indexed for MEDLINE]Related articles

4.

WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data.

Yi M, Horton JD, Cohen JC, Hobbs HH, Stephens RM.

BMC Bioinformatics. 2006 Jan 19;7:30.PMID: 16423281 [PubMed - indexed for MEDLINE]Related articlesFree article

5.

Genomics and homeostasis.

Cowley AW Jr.

Am J Physiol Regul Integr Comp Physiol. 2003 Mar;284(3):R611-27.PMID: 12571070 [PubMed - indexed for MEDLINE]Related articles

6.

Integrated expressional analysis: application to the drug discovery process.

Ilyin SE, Horowitz D, Belkowski SM, Xin H, Eckardt AJ, Darrow AL, Chen C, Maley D, D'Andrea M, Plata-Salamán CR, Derian CK.

Methods. 2005 Nov;37(3):280-8.PMID: 16308157 [PubMed - indexed for MEDLINE]Related articles

7.

Microarray technology in the study of obesity and non-alcoholic fatty liver disease.

Baranova A, Schlauch K, Gowder S, Collantes R, Chandhoke V, Younossi ZM.

Liver Int. 2005 Dec;25(6):1091-6. Review.PMID: 16343057 [PubMed - indexed for MEDLINE]Related articles

8.

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 5;6:168.PMID: 15998470 [PubMed - indexed for MEDLINE]Related articlesFree article

9.

Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.

Zhao X, Cheung LW.

BMC Bioinformatics. 2007 Feb 28;8:67.PMID: 17328811 [PubMed - indexed for MEDLINE]Related articlesFree article

10.

MAID : an effect size based model for microarray data integration across laboratories and platforms.

Borozan I, Chen L, Paeper B, Heathcote JE, Edwards AM, Katze M, Zhang Z, McGilvray ID.

BMC Bioinformatics. 2008 Jul 10;9:305.PMID: 18616827 [PubMed - indexed for MEDLINE]Related articlesFree article

11.

Generation of p53 target database via integration of microarray and global p53 DNA-binding site analysis.

Liu S, Mirza A, Wang L.

Methods Mol Biol. 2004;281:33-54.PMID: 15220520 [PubMed - indexed for MEDLINE]Related articles

12.

Chronoastrobiology: proposal, nine conferences, heliogeomagnetics, transyears, near-weeks, near-decades, phylogenetic and ontogenetic memories.

Halberg F, Cornélissen G, Regal P, Otsuka K, Wang Z, Katinas GS, Siegelova J, Homolka P, Prikryl P, Chibisov SM, Holley DC, Wendt HW, Bingham C, Palm SL, Sonkowsky RP, Sothern RB, Pales E, Mikulecky M, Tarquini R, Perfetto F, Salti R, Maggioni C, Jozsa R, Konradov AA, Kharlitskaya EV, Revillam M, Wan C, Herold M, Syutkina EV, Masalov AV, Faraone P, Singh RB, Singh RK, Kumar A, Singhs R, Sundaram S, Sarabandi T, Pantaleoni G, Watanabe Y, Kumagai Y, Gubin D, Uezono K, Olah A, Borer K, Kanabrockia EA, Bathina S, Haus E, Hillman D, Schwartzkopff O, Bakken EE, Zeman M.

Biomed Pharmacother. 2004 Oct;58 Suppl 1:S150-87.PMID: 15754855 [PubMed - indexed for MEDLINE]Related articles

13.

Integrative physiology and functional genomics of epithelial function in a genetic model organism.

Dow JT, Davies SA.

Physiol Rev. 2003 Jul;83(3):687-729. Review.PMID: 12843407 [PubMed - indexed for MEDLINE]Related articlesFree article

14.

Triple-target microarray experiments: a novel experimental strategy.

Forster T, Costa Y, Roy D, Cooke HJ, Maratou K.

BMC Genomics. 2004 Feb 10;5(1):13.PMID: 15018645 [PubMed - indexed for MEDLINE]Related articlesFree article

15.

Comparative and integrative functional genomics of HCC.

Lee JS, Thorgeirsson SS.

Oncogene. 2006 Jun 26;25(27):3801-9. Review.PMID: 16799621 [PubMed - indexed for MEDLINE]Related articles

16.

From single gene to integrative molecular concept MAPS: pitfalls and potentials of microarray technology.

Chiorino G, Mello Grand M, Scatolini M, Ostano P.

J Biol Regul Homeost Agents. 2008 Jan-Mar;22(1):7-16. Review.PMID: 18394313 [PubMed - indexed for MEDLINE]Related articles

17.

Functional genomics and proteomics in the clinical neurosciences: data mining and bioinformatics.

Phan JH, Quo CF, Wang MD.

Prog Brain Res. 2006;158:83-108. Review.PMID: 17027692 [PubMed - indexed for MEDLINE]Related articles

18.

Integration of bioinformatics resources for functional analysis of gene expression and proteomic data.

Huang H, Hu ZZ, Arighi CN, Wu CH.

Front Biosci. 2007 Sep 1;12:5071-88. Review.PMID: 17569631 [PubMed - indexed for MEDLINE]Related articles

19.

Microarray studies of gene expression in fish.

Douglas SE.

OMICS. 2006 Winter;10(4):474-89. Review.PMID: 17233558 [PubMed - indexed for MEDLINE]Related articles

20.

Evolving strategies for global gene expression analysis of cancer.

Coe BP, Chari R, Lockwood WW, Lam WL.

J Cell Physiol. 2008 Dec;217(3):590-7. Review.PMID: 18680120 [PubMed - indexed for MEDLINE]Related articles

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