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Results: 1 to 20 of 22

Cited In for PubMed (Select 17148508)

1.

Inhibition of malignant phenotypes of human osteosarcoma cells by a gene silencer, a pyrrole-imidazole polyamide, which targets an E-box motif.

Taniguchi M, Fujiwara K, Nakai Y, Ozaki T, Koshikawa N, Toshio K, Kataba M, Oguni A, Matsuda H, Yoshida Y, Tokuhashi Y, Fukuda N, Ueno T, Soma M, Nagase H.

FEBS Open Bio. 2014 Mar 13;4:328-34. doi: 10.1016/j.fob.2014.03.004. eCollection 2014.

2.

Additional nitrogen fertilization at heading time of rice down-regulates cellulose synthesis in seed endosperm.

Midorikawa K, Kuroda M, Terauchi K, Hoshi M, Ikenaga S, Ishimaru Y, Abe K, Asakura T.

PLoS One. 2014 Jun 6;9(6):e98738. doi: 10.1371/journal.pone.0098738. eCollection 2014.

3.

Estimating differential expression from multiple indicators.

Ilmjärv S, Hundahl CA, Reimets R, Niitsoo M, Kolde R, Vilo J, Vasar E, Luuk H.

Nucleic Acids Res. 2014 Apr;42(8):e72. doi: 10.1093/nar/gku158. Epub 2014 Feb 27.

4.

Gene selection and classification for cancer microarray data based on machine learning and similarity measures.

Liu Q, Sung AH, Chen Z, Liu J, Chen L, Qiao M, Wang Z, Huang X, Deng Y.

BMC Genomics. 2011 Dec 23;12 Suppl 5:S1. doi: 10.1186/1471-2164-12-S5-S1. Epub 2011 Dec 23.

5.

A gene selection method for GeneChip array data with small sample sizes.

Chen Z, Liu Q, McGee M, Kong M, Huang X, Deng Y, Scheuermann RH.

BMC Genomics. 2011 Dec 23;12 Suppl 5:S7. doi: 10.1186/1471-2164-12-S5-S7. Epub 2011 Dec 23.

6.

High phosphorus diet-induced changes in NaPi-IIb phosphate transporter expression in the rat kidney: DNA microarray analysis.

Suyama T, Okada S, Ishijima T, Iida K, Abe K, Nakai Y.

PLoS One. 2012;7(1):e29483. doi: 10.1371/journal.pone.0029483. Epub 2012 Jan 3.

7.

Evaluating methods for ranking differentially expressed genes applied to microArray quality control data.

Kadota K, Shimizu K.

BMC Bioinformatics. 2011 Jun 6;12:227. doi: 10.1186/1471-2105-12-227.

8.

A wholly defined Agilent microarray spike-in dataset.

Zhu Q, Miecznikowski JC, Halfon MS.

Bioinformatics. 2011 May 1;27(9):1284-9. doi: 10.1093/bioinformatics/btr135. Epub 2011 Mar 16.

9.

Collection of epithelial cells from rodent mammary gland via laser capture microdissection yielding high-quality RNA suitable for microarray analysis.

McGinley JN, Zhu Z, Jiang W, Thompson HJ.

Biol Proced Online. 2010 Mar 3;12(1):9026. doi: 10.1007/s12575-010-9026-8.

10.

Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset.

Zhu Q, Miecznikowski JC, Halfon MS.

BMC Bioinformatics. 2010 May 27;11:285. doi: 10.1186/1471-2105-11-285.

11.

A comparison of probe-level and probeset models for small-sample gene expression data.

Stevens JR, Bell JL, Aston KI, White KL.

BMC Bioinformatics. 2010 May 26;11:281. doi: 10.1186/1471-2105-11-281.

12.

Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression data.

Liu Q, Sung AH, Chen Z, Liu J, Huang X, Deng Y.

PLoS One. 2009 Dec 11;4(12):e8250. doi: 10.1371/journal.pone.0008250.

13.

[In Process Citation].

Yanashima R, Kitagawa N, Matsubara Y, Weatheritt R, Oka K, Kikuchi S, Tomita M, Ishizaki S.

Front Neuroinform. 2009 May 29;3:13. eCollection 2009.

14.

Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.

Gyorffy B, Molnar B, Lage H, Szallasi Z, Eklund AC.

PLoS One. 2009 May 21;4(5):e5645. doi: 10.1371/journal.pone.0005645.

15.
16.

Bayesian optimal discovery procedure for simultaneous significance testing.

Cao J, Xie XJ, Zhang S, Whitehurst A, White MA.

BMC Bioinformatics. 2009 Jan 6;10:5. doi: 10.1186/1471-2105-10-5.

17.

Agglomerative epigenetic aberrations are a common event in human breast cancer.

Novak P, Jensen T, Oshiro MM, Watts GS, Kim CJ, Futscher BW.

Cancer Res. 2008 Oct 15;68(20):8616-25. doi: 10.1158/0008-5472.CAN-08-1419.

18.

Differential variability analysis of gene expression and its application to human diseases.

Ho JW, Stefani M, dos Remedios CG, Charleston MA.

Bioinformatics. 2008 Jul 1;24(13):i390-8. doi: 10.1093/bioinformatics/btn142.

19.

A weighted average difference method for detecting differentially expressed genes from microarray data.

Kadota K, Nakai Y, Shimizu K.

Algorithms Mol Biol. 2008 Jun 26;3:8. doi: 10.1186/1748-7188-3-8.

20.

Knowledge-based gene expression classification via matrix factorization.

Schachtner R, Lutter D, Knollmüller P, Tomé AM, Theis FJ, Schmitz G, Stetter M, Vilda PG, Lang EW.

Bioinformatics. 2008 Aug 1;24(15):1688-97. doi: 10.1093/bioinformatics/btn245. Epub 2008 Jun 5.

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