-
1
-
-
7444234286
-
Getting the noise out of gene arrays
-
Marshall E. Getting the noise out of gene arrays. Science 2004, 306:630-631.
-
(2004)
Science
, vol.306
, pp. 630-631
-
-
Marshall, E.1
-
2
-
-
33645825183
-
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
-
Ein-Dor L., Zuk O., Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci U S A 2006, 103:5923-5928.
-
(2006)
Proc Natl Acad Sci U S A
, vol.103
, pp. 5923-5928
-
-
Ein-Dor, L.1
Zuk, O.2
Domany, E.3
-
3
-
-
78650735473
-
MAQC Consortium The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
-
Shi L., Campbell G., Jones W.D., Campagne F., Wen Z., Walker S.J., et al. MAQC Consortium The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 2010, 28:827-838.
-
(2010)
Nat Biotechnol
, vol.28
, pp. 827-838
-
-
Shi, L.1
Campbell, G.2
Jones, W.D.3
Campagne, F.4
Wen, Z.5
Walker, S.J.6
-
4
-
-
49649083648
-
The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
-
Shi L., Jones W.D., Jensen R.V., Harris S.C., Perkins R.G., Goodsaid F.M., et al. The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies. BMC Bioinformatics 2008, 9(Suppl. 9):S10.
-
(2008)
BMC Bioinformatics
, vol.9
, Issue.SUPPL. 9
-
-
Shi, L.1
Jones, W.D.2
Jensen, R.V.3
Harris, S.C.4
Perkins, R.G.5
Goodsaid, F.M.6
-
5
-
-
77955131271
-
A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data
-
Luo J., Schumacher M., Scherer A., Sanoudou D., Megherbi D., Davison T., et al. A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data. Pharmacogenomics J 2010, 10:278-291.
-
(2010)
Pharmacogenomics J
, vol.10
, pp. 278-291
-
-
Luo, J.1
Schumacher, M.2
Scherer, A.3
Sanoudou, D.4
Megherbi, D.5
Davison, T.6
-
6
-
-
84862686698
-
Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics
-
Gregori J., Villarreal L., Méndez O., Sanchez A., Baselga J., Villanueva J. Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics. J Proteomics 2012, 1-14.
-
(2012)
J Proteomics
, pp. 1-14
-
-
Gregori, J.1
Villarreal, L.2
Méndez, O.3
Sanchez, A.4
Baselga, J.5
Villanueva, J.6
-
7
-
-
18844447998
-
Statistical development and evaluation of microarray gene expression data filters
-
Pounds S., Cheng C. Statistical development and evaluation of microarray gene expression data filters. J Comput Biol 2005, 12:482-495.
-
(2005)
J Comput Biol
, vol.12
, pp. 482-495
-
-
Pounds, S.1
Cheng, C.2
-
8
-
-
77953095629
-
Independent filtering increases detection power for high-throughput experiments
-
Bourgon R., Gentleman R., Huber W. Independent filtering increases detection power for high-throughput experiments. Proc Natl Acad Sci 2010, 107:9546-9551.
-
(2010)
Proc Natl Acad Sci
, vol.107
, pp. 9546-9551
-
-
Bourgon, R.1
Gentleman, R.2
Huber, W.3
-
9
-
-
77956479195
-
Filtering, FDR and power
-
van Iterson M., Boer J.M., Menezes R.X. Filtering, FDR and power. BMC Bioinformatics 2010, 11:450.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 450
-
-
van Iterson, M.1
Boer, J.M.2
Menezes, R.X.3
-
10
-
-
58149299336
-
Significance analysis of spectral count data in label-free shotgun proteomics
-
Choi H., Fermin D., Nesvizhskii A.I. Significance analysis of spectral count data in label-free shotgun proteomics. Mol Cell Proteomics 2008, 7:2373-2385.
-
(2008)
Mol Cell Proteomics
, vol.7
, pp. 2373-2385
-
-
Choi, H.1
Fermin, D.2
Nesvizhskii, A.I.3
-
12
-
-
77955458799
-
Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling
-
Li M., Gray W., Zhang H., Chung C.H., Billheimer D., Yarbrough W.G., et al. Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling. J Proteome Res 2010, 9:4295-4305.
-
(2010)
J Proteome Res
, vol.9
, pp. 4295-4305
-
-
Li, M.1
Gray, W.2
Zhang, H.3
Chung, C.H.4
Billheimer, D.5
Yarbrough, W.G.6
-
13
-
-
75249087100
-
EdgeR: a Bioconductor package for differential expression analysis of digital gene expression data
-
Robinson M.D., McCarthy D.J., Smyth G.K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 2010, 26:139-140.
-
(2010)
Bioinformatics
, vol.26
, pp. 139-140
-
-
Robinson, M.D.1
McCarthy, D.J.2
Smyth, G.K.3
-
14
-
-
0037108887
-
Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search
-
Keller A., Nesvizhskii A.I., Kolker E., Aebersold R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal Chem 2002, 74:5383-5392.
-
(2002)
Anal Chem
, vol.74
, pp. 5383-5392
-
-
Keller, A.1
Nesvizhskii, A.I.2
Kolker, E.3
Aebersold, R.4
-
16
-
-
0001677717
-
Controlling the false discovery rate-a practical and powerful approach to multiple testing
-
Benjamini Y., Hochberg Y. Controlling the false discovery rate-a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 1995, 57:289-300.
-
(1995)
J R Stat Soc Ser B Methodol
, vol.57
, pp. 289-300
-
-
Benjamini, Y.1
Hochberg, Y.2
-
17
-
-
58349085083
-
Receiver-operating characteristic curve analysis in diagnostic, prognostic and predictive biomarker research
-
Søreide K. Receiver-operating characteristic curve analysis in diagnostic, prognostic and predictive biomarker research. J Clin Pathol 2009, 62:1-5.
-
(2009)
J Clin Pathol
, vol.62
, pp. 1-5
-
-
Søreide, K.1
|