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Items: 1 to 20 of 100

1.

Effect of training-sample size and classification difficulty on the accuracy of genomic predictors.

Popovici V, Chen W, Gallas BG, Hatzis C, Shi W, Samuelson FW, Nikolsky Y, Tsyganova M, Ishkin A, Nikolskaya T, Hess KR, Valero V, Booser D, Delorenzi M, Hortobagyi GN, Shi L, Symmans WF, Pusztai L.

Breast Cancer Res. 2010;12(1):R5. doi: 10.1186/bcr2468. Epub 2010 Jan 11.

2.

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.

3.

Comparison of performance of one-color and two-color gene-expression analyses in predicting clinical endpoints of neuroblastoma patients.

Oberthuer A, Juraeva D, Li L, Kahlert Y, Westermann F, Eils R, Berthold F, Shi L, Wolfinger RD, Fischer M, Brors B.

Pharmacogenomics J. 2010 Aug;10(4):258-66. doi: 10.1038/tpj.2010.53.

4.

A hybrid feature selection method for DNA microarray data.

Chuang LY, Yang CH, Wu KC, Yang CH.

Comput Biol Med. 2011 Apr;41(4):228-37. doi: 10.1016/j.compbiomed.2011.02.004. Epub 2011 Mar 3.

PMID:
21376310
5.

One-step extrapolation of the prediction performance of a gene signature derived from a small study.

Wang LY, Lee WC.

BMJ Open. 2015 Apr 17;5(4):e007170. doi: 10.1136/bmjopen-2014-007170.

6.

Stratification bias in low signal microarray studies.

Parker BJ, Günter S, Bedo J.

BMC Bioinformatics. 2007 Sep 2;8:326.

7.
8.

Superior feature-set ranking for small samples using bolstered error estimation.

Sima C, Braga-Neto U, Dougherty ER.

Bioinformatics. 2005 Apr 1;21(7):1046-54. Epub 2004 Oct 28.

PMID:
15514003
9.

Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer.

Hess KR, Anderson K, Symmans WF, Valero V, Ibrahim N, Mejia JA, Booser D, Theriault RL, Buzdar AU, Dempsey PJ, Rouzier R, Sneige N, Ross JS, Vidaurre T, Gómez HL, Hortobagyi GN, Pusztai L.

J Clin Oncol. 2006 Sep 10;24(26):4236-44. Epub 2006 Aug 8.

PMID:
16896004
10.

On the statistical assessment of classifiers using DNA microarray data.

Ancona N, Maglietta R, Piepoli A, D'Addabbo A, Cotugno R, Savino M, Liuni S, Carella M, Pesole G, Perri F.

BMC Bioinformatics. 2006 Aug 19;7:387.

11.

Prediction of breast cancer metastasis by gene expression profiles: a comparison of metagenes and single genes.

Burton M, Thomassen M, Tan Q, Kruse TA.

Cancer Inform. 2012;11:193-217. doi: 10.4137/CIN.S10375. Epub 2012 Dec 10.

12.

A comparative study of different machine learning methods on microarray gene expression data.

Pirooznia M, Yang JY, Yang MQ, Deng Y.

BMC Genomics. 2008;9 Suppl 1:S13. doi: 10.1186/1471-2164-9-S1-S13.

13.

A blocking strategy to improve gene selection for classification of gene expression data.

Bontempi G.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Apr-Jun;4(2):293-300.

PMID:
17473321
14.

Genetic test bed for feature selection.

Choudhary A, Brun M, Hua J, Lowey J, Suh E, Dougherty ER.

Bioinformatics. 2006 Apr 1;22(7):837-42. Epub 2006 Jan 20.

PMID:
16428263
15.

Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems.

Hess KR, Wei C, Qi Y, Iwamoto T, Symmans WF, Pusztai L.

BMC Bioinformatics. 2011 Dec 1;12:463. doi: 10.1186/1471-2105-12-463.

16.
17.

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.

18.

Gene selection and classification of microarray data using random forest.

Díaz-Uriarte R, Alvarez de Andrés S.

BMC Bioinformatics. 2006 Jan 6;7:3.

19.

Class prediction for high-dimensional class-imbalanced data.

Blagus R, Lusa L.

BMC Bioinformatics. 2010 Oct 20;11:523. doi: 10.1186/1471-2105-11-523.

20.

Mixture classification model based on clinical markers for breast cancer prognosis.

Zeng T, Liu J.

Artif Intell Med. 2010 Feb-Mar;48(2-3):129-37. doi: 10.1016/j.artmed.2009.07.008. Epub 2009 Dec 14.

PMID:
20005686

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