237 related articles for article (PubMed ID: 16131395)
41. [The modeling of gene regulatory networks].
Tashiro K; Kuhara S
Tanpakushitsu Kakusan Koso; 2003 Aug; 48(11 Suppl):1450-6. PubMed ID: 12931599
[No Abstract] [Full Text] [Related]
42. Dissecting systems-wide data using mixture models: application to identify affected cellular processes.
Svensson JP; de Menezes RX; Turesson I; Giphart-Gassler M; Vrieling H
BMC Bioinformatics; 2005 Jul; 6():177. PubMed ID: 16018805
[TBL] [Abstract][Full Text] [Related]
43. From microarray to biological networks: Analysis of gene expression profiles.
Wu X; Dewey TG
Methods Mol Biol; 2006; 316():35-48. PubMed ID: 16671399
[TBL] [Abstract][Full Text] [Related]
44. Correspondence analysis applied to microarray data.
Fellenberg K; Hauser NC; Brors B; Neutzner A; Hoheisel JD; Vingron M
Proc Natl Acad Sci U S A; 2001 Sep; 98(19):10781-6. PubMed ID: 11535808
[TBL] [Abstract][Full Text] [Related]
45. Mining functional information associated with expression arrays.
Blaschke C; Oliveros JC; Valencia A
Funct Integr Genomics; 2001 Mar; 1(4):256-68. PubMed ID: 11793245
[TBL] [Abstract][Full Text] [Related]
46. Extracting knowledge from dynamics in gene expression.
Reis BY; Butte AS; Kohane IS
J Biomed Inform; 2001 Feb; 34(1):15-27. PubMed ID: 11376539
[TBL] [Abstract][Full Text] [Related]
47. Comparison of computational methods for the identification of cell cycle-regulated genes.
de Lichtenberg U; Jensen LJ; Fausbøll A; Jensen TS; Bork P; Brunak S
Bioinformatics; 2005 Apr; 21(7):1164-71. PubMed ID: 15513999
[TBL] [Abstract][Full Text] [Related]
48. A new type of stochastic dependence revealed in gene expression data.
Klebanov L; Jordan C; Yakovlev A
Stat Appl Genet Mol Biol; 2006; 5():Article7. PubMed ID: 16646871
[TBL] [Abstract][Full Text] [Related]
49. The immune system and gene expression microarrays--new answers to old questions.
Glynne RJ; Watson SR
J Pathol; 2001 Sep; 195(1):20-30. PubMed ID: 11568888
[TBL] [Abstract][Full Text] [Related]
50. Molecular understanding of oxygen-tension and patient-variability effects on ex vivo expanded T cells.
Haddad H; Windgassen D; Ramsborg CG; Paredes CJ; Papoutsakis ET
Biotechnol Bioeng; 2004 Aug; 87(4):437-50. PubMed ID: 15286980
[TBL] [Abstract][Full Text] [Related]
51. A visualisation concept of dynamic signalling networks.
Jenster G
Mol Cell Endocrinol; 2004 Apr; 218(1-2):1-6. PubMed ID: 15130506
[TBL] [Abstract][Full Text] [Related]
52. Relationship between gene co-expression and probe localization on microarray slides.
Kluger Y; Yu H; Qian J; Gerstein M
BMC Genomics; 2003 Dec; 4(1):49. PubMed ID: 14667251
[TBL] [Abstract][Full Text] [Related]
53. Annotating gene function by combining expression data with a modular gene network.
Shiga M; Takigawa I; Mamitsuka H
Bioinformatics; 2007 Jul; 23(13):i468-78. PubMed ID: 17646332
[TBL] [Abstract][Full Text] [Related]
54. The transcriptome's drugable frequenters.
Dechering KJ
Drug Discov Today; 2005 Jun; 10(12):857-64. PubMed ID: 15970268
[TBL] [Abstract][Full Text] [Related]
55. Fusing time series expression data through hybrid aggregation and hierarchical merge.
Tsiporkova E; Boeva V
Bioinformatics; 2008 Aug; 24(16):i63-9. PubMed ID: 18689841
[TBL] [Abstract][Full Text] [Related]
56. Age-dependent changes of gene expression in the Drosophila head.
Kim SN; Rhee JH; Song YH; Park DY; Hwang M; Lee SL; Kim JE; Gim BS; Yoon JH; Kim YJ; Kim-Ha J
Neurobiol Aging; 2005 Jul; 26(7):1083-91. PubMed ID: 15748788
[TBL] [Abstract][Full Text] [Related]
57. The instantly released Drosophila immune proteome is infection-specific.
Vierstraete E; Verleyen P; Sas F; Van den Bergh G; De Loof A; Arckens L; Schoofs L
Biochem Biophys Res Commun; 2004 May; 317(4):1052-60. PubMed ID: 15094375
[TBL] [Abstract][Full Text] [Related]
58. Protein microarrays: catching the proteome.
Poetz O; Schwenk JM; Kramer S; Stoll D; Templin MF; Joos TO
Mech Ageing Dev; 2005 Jan; 126(1):161-70. PubMed ID: 15610775
[TBL] [Abstract][Full Text] [Related]
59. Towards patterns tree of gene coexpression in eukaryotic species.
Wang H; Wang Q; Li X; Shen B; Ding M; Shen Z
Bioinformatics; 2008 Jun; 24(11):1367-73. PubMed ID: 18407921
[TBL] [Abstract][Full Text] [Related]
60. Inference of functional networks of condition-specific response--a case study of quiescence in yeast.
Roy S; Lane T; Werner-Washburne M; Martinez D
Pac Symp Biocomput; 2009; ():51-62. PubMed ID: 19209695
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
