Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 253

1.

Identifying significant temporal variation in time course microarray data without replicates.

Billups SC, Neville MC, Rudolph M, Porter W, Schedin P.

BMC Bioinformatics. 2009 Mar 26;10:96. doi: 10.1186/1471-2105-10-96.

2.

Bayesian detection of periodic mRNA time profiles without use of training examples.

Andersson CR, Isaksson A, Gustafsson MG.

BMC Bioinformatics. 2006 Feb 9;7:63.

3.

SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor.

Dvorkin D, Fadok V, Cios K.

Artif Intell Med. 2005 Sep-Oct;35(1-2):49-60.

PMID:
16099148
4.

Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance.

Lin KK, Chudova D, Hatfield GW, Smyth P, Andersen B.

Proc Natl Acad Sci U S A. 2004 Nov 9;101(45):15955-60. Epub 2004 Nov 1.

5.

Correspondence analysis of microarray time-course data in case-control design.

Tan Q, Brusgaard K, Kruse TA, Oakeley E, Hemmings B, Beck-Nielsen H, Hansen L, Gaster M.

J Biomed Inform. 2004 Oct;37(5):358-65.

6.

Identification of genes involved in the same pathways using a Hidden Markov Model-based approach.

Senf A, Chen XW.

Bioinformatics. 2009 Nov 15;25(22):2945-54. doi: 10.1093/bioinformatics/btp521. Epub 2009 Aug 31.

PMID:
19720676
7.

Tumor classification ranking from microarray data.

Hewett R, Kijsanayothin P.

BMC Genomics. 2008 Sep 16;9 Suppl 2:S21. doi: 10.1186/1471-2164-9-S2-S21.

8.

A novel normalization method for effective removal of systematic variation in microarray data.

Chua SW, Vijayakumar P, Nissom PM, Yam CY, Wong VV, Yang H.

Nucleic Acids Res. 2006 Mar 9;34(5):e38. Print 2006.

9.

Gene profiling for determining pluripotent genes in a time course microarray experiment.

Tuke J, Glonek GF, Solomon PJ.

Biostatistics. 2009 Jan;10(1):80-93. doi: 10.1093/biostatistics/kxn017. Epub 2008 Jun 18.

PMID:
18562347
10.

Stability of gene contributions and identification of outliers in multivariate analysis of microarray data.

Baty F, Jaeger D, Preiswerk F, Schumacher MM, Brutsche MH.

BMC Bioinformatics. 2008 Jun 20;9:289. doi: 10.1186/1471-2105-9-289.

11.

Biclustering of microarray data with MOSPO based on crowding distance.

Liu J, Li Z, Hu X, Chen Y.

BMC Bioinformatics. 2009 Apr 29;10 Suppl 4:S9. doi: 10.1186/1471-2105-10-S4-S9.

12.
13.

Joint mapping of genes and conditions via multidimensional unfolding analysis.

Van Deun K, Marchal K, Heiser WJ, Engelen K, Van Mechelen I.

BMC Bioinformatics. 2007 Jun 5;8:181.

14.

A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data.

Zhao H, Liew AW, Xie X, Yan H.

J Theor Biol. 2008 Mar 21;251(2):264-74. doi: 10.1016/j.jtbi.2007.11.030. Epub 2007 Dec 4.

PMID:
18199458
15.

Computational approaches to analysis of DNA microarray data.

Quackenbush J.

Yearb Med Inform. 2006:91-103. Review.

PMID:
17051302
16.
17.

Bayesian hierarchical modeling for time course microarray experiments.

Chi YY, Ibrahim JG, Bissahoyo A, Threadgill DW.

Biometrics. 2007 Jun;63(2):496-504.

PMID:
17688501
18.

The cyclohedron test for finding periodic genes in time course expression studies.

Morton J, Pachter L, Shiu A, Sturmfels B.

Stat Appl Genet Mol Biol. 2007;6:Article 21. Epub 2007 Aug 15.

PMID:
17764440
19.

Classification using functional data analysis for temporal gene expression data.

Leng X, Müller HG.

Bioinformatics. 2006 Jan 1;22(1):68-76. Epub 2005 Oct 27.

PMID:
16257986
20.

Identifying cycling genes by combining sequence homology and expression data.

Lu Y, Rosenfeld R, Bar-Joseph Z.

Bioinformatics. 2006 Jul 15;22(14):e314-22.

PMID:
16873488

Supplemental Content

Support Center