-
1
-
-
28244483283
-
Correlation between gene expression levels and limitations of the empirical Bayes methodology for finding differentially expressed genes
-
article 34
-
Qiu X, Klebanov L, Yakovlev A, Correlation between gene expression levels and limitations of the empirical Bayes methodology for finding differentially expressed genes. Stat Appl Genet Mol Biol 4 article 34, 2005.
-
(2005)
Stat Appl Genet Mol Biol
, vol.4
-
-
Qiu, X.1
Klebanov, L.2
Yakovlev, A.3
-
2
-
-
33645024314
-
Assessing stability of gene selection in micrarray data analysis
-
article 50
-
Qiu X, Xiao Y, Gordon A, Yakovlev A, Assessing stability of gene selection in micrarray data analysis, BMC Bioinformatics 7 article 50, 2006.
-
(2006)
BMC Bioinformatics
, vol.7
-
-
Qiu, X.1
Xiao, Y.2
Gordon, A.3
Yakovlev, A.4
-
3
-
-
33751019193
-
Some comments on instability of false discovery rate estimation
-
Qiu X, Yakovlev A, Some comments on instability of false discovery rate estimation, J Bioinform Comput Biol 4(5):1057-1068, 2006.
-
(2006)
J Bioinform Comput Biol
, vol.4
, Issue.5
, pp. 1057-1068
-
-
Qiu, X.1
Yakovlev, A.2
-
4
-
-
34548493072
-
Control of the mean number of false discoveries, Bonferroni, and stability of multiple testing
-
Gordon A, Glazko G, Qiu X, Yakovlev A, Control of the mean number of false discoveries, Bonferroni, and stability of multiple testing, Ann Appl Stat 1(1):179-196, 2007.
-
(2007)
Ann Appl Stat
, vol.1
, Issue.1
, pp. 179-196
-
-
Gordon, A.1
Glazko, G.2
Qiu, X.3
Yakovlev, A.4
-
5
-
-
0141626917
-
The effect of replication on gene expression microarray experiments
-
Pavlidis P, Li Q, Noble WS, The effect of replication on gene expression microarray experiments, Bioinformatics 19:1620-1627, 2003.
-
(2003)
Bioinformatics
, vol.19
, pp. 1620-1627
-
-
Pavlidis, P.1
Li, Q.2
Noble, W.S.3
-
6
-
-
25444485444
-
The effects of normalization on the correlation structure of microaxray data
-
aRticle 120
-
Qiu X, Brooks AI, Klebanov L, Yakovlev A, The effects of normalization on the correlation structure of microaxray data, BMC Bioinformatics 6:aRticle 120, 2005.
-
(2005)
BMC Bioinformatics
, vol.6
-
-
Qiu, X.1
Brooks, A.I.2
Klebanov, L.3
Yakovlev, A.4
-
7
-
-
33745413936
-
Utility of correlation measures in analysis of gene expression
-
Almudevar A, Klebanov L, Qiu X, Salzman P, Yakovlev A, Utility of correlation measures in analysis of gene expression, NeuroRx 3 3):384-395, 2006.
-
(2006)
NeuroRx
, vol.3
, Issue.3
, pp. 384-395
-
-
Almudevar, A.1
Klebanov, L.2
Qiu, X.3
Salzman, P.4
Yakovlev, A.5
-
8
-
-
33646375698
-
Treating expression levels of different genes as a sample in microarray data analysis: Is it worth a risk?
-
aRticle 9
-
Klebanov L, Yakovlev A, Treating expression levels of different genes as a sample in microarray data analysis: Is it worth a risk?, Stat Appl Genet Mol Biol 5:aRticle 9, 2006.
-
(2006)
Stat Appl Genet Mol Biol
, vol.5
-
-
Klebanov, L.1
Yakovlev, A.2
-
9
-
-
1142273091
-
Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach
-
Storey JD, Taylor JE, Siegmund D, Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach, J R Stat Soc Ser B 66:187-205, 2004.
-
(2004)
J R Stat Soc Ser B
, vol.66
, pp. 187-205
-
-
Storey, J.D.1
Taylor, J.E.2
Siegmund, D.3
-
10
-
-
26444564509
-
Statistical significance threshold criteria for analysis of microarray gene expression data
-
aRticle
-
Cheng C, Pounds S, Boyett JM, Pei D, Kuo ML, Roussel MF, Statistical significance threshold criteria for analysis of microarray gene expression data, Stat Appl Genet Mol Biol 3(1):aRticle 36, 2004.
-
(2004)
Stat Appl Genet Mol Biol
, vol.36
, Issue.1
, pp. 3
-
-
Cheng, C.1
Pounds, S.2
Boyett, J.M.3
Pei, D.4
Kuo, M.L.5
Roussel, M.F.6
-
11
-
-
1542784653
-
Empirical Bayes analysis of a microarray experiment
-
Efron B, Tibshirani R, Storey JD, Tusher V, Empirical Bayes analysis of a microarray experiment, J Am Stat Assoc 96:1151-1160, 2001.
-
(2001)
J Am Stat Assoc
, vol.96
, pp. 1151-1160
-
-
Efron, B.1
Tibshirani, R.2
Storey, J.D.3
Tusher, V.4
-
12
-
-
0038364283
-
Robbins, empirical Bayes and microarrays
-
Efron B, Robbins, empirical Bayes and microarrays, Ann Stat 31 366-378, 2003.
-
(2003)
Ann Stat
, vol.31
, pp. 366-378
-
-
Efron, B.1
-
13
-
-
2142732441
-
Large-scale simultaneous hypothesis testing: The choice of a null hypothesis
-
Efron B, Large-scale simultaneous hypothesis testing: The choice of a null hypothesis, J Am Stat Assoc 99:96-104, 2004.
-
(2004)
J Am Stat Assoc
, vol.99
, pp. 96-104
-
-
Efron, B.1
-
14
-
-
33947216221
-
Correlation and large-scale simultaneous testing
-
Efron B, Correlation and large-scale simultaneous testing, J Am Stat Assoc 102: 93-103, 2007.
-
(2007)
J Am Stat Assoc
, vol.102
, pp. 93-103
-
-
Efron, B.1
-
15
-
-
19044399684
-
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
-
Yeoh EJ et al., Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling, Cancer Cell 1(2): 133-143, 2002.
-
(2002)
Cancer Cell
, vol.1
, Issue.2
, pp. 133-143
-
-
Yeoh, E.J.1
-
16
-
-
44049091467
-
Diverse correlation structutes in microarray gene expression data
-
Klebanov L, Yakovlev A, Diverse correlation structutes in microarray gene expression data, Ann Applied Stat 1(2):538-559, 2007.
-
(2007)
Ann Applied Stat
, vol.1
, Issue.2
, pp. 538-559
-
-
Klebanov, L.1
Yakovlev, A.2
-
17
-
-
19044391072
-
Gene expression correlates of clinical prostate cancer behavior
-
Singh D et al., Gene expression correlates of clinical prostate cancer behavior, Cancer Cell 1:203-209, 2002.
-
(2002)
Cancer Cell
, vol.1
, pp. 203-209
-
-
Singh, D.1
-
18
-
-
33144462268
-
Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis
-
Sotiriou C et al., Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis, J Natl Cancer Inst 98(4):262-272, 2006.
-
(2006)
J Natl Cancer Inst
, vol.98
, Issue.4
, pp. 262-272
-
-
Sotiriou, C.1
-
19
-
-
33749335282
-
The Connectivity Map: Using gene-expression signatures to connect small molecules, genes, and disease
-
Lamb J et al., The Connectivity Map: Using gene-expression signatures to connect small molecules, genes, and disease, Science 313:1929-1935, 2006.
-
(2006)
Science
, vol.313
, pp. 1929-1935
-
-
Lamb, J.1
-
20
-
-
33646922618
-
A permutation test motivated by microarray data analysis
-
Klebanov L, Gordon A, Xiao Y, Land H, Yakovlev A, A permutation test motivated by microarray data analysis, Comput Stat Data Anal 50 12):3619-3628, 2006.
-
(2006)
Comput Stat Data Anal
, vol.50
, Issue.12
, pp. 3619-3628
-
-
Klebanov, L.1
Gordon, A.2
Xiao, Y.3
Land, H.4
Yakovlev, A.5
-
22
-
-
0034370950
-
On the adaptive control of the false discovery rate in multiple testing with independent statistics
-
Benjamini Y, Hochberg Y, On the adaptive control of the false discovery rate in multiple testing with independent statistics, J Educ Behav Stat 25:60-83, 2000.
-
(2000)
J Educ Behav Stat
, vol.25
, pp. 60-83
-
-
Benjamini, Y.1
Hochberg, Y.2
-
23
-
-
0037433040
-
Identifying differentially expressed genes using false discovery rate controlling procedures
-
Reiner A, Yekutieli D, Benjamini Y, Identifying differentially expressed genes using false discovery rate controlling procedures, Bioinformatics 19:368-375, 2003.
-
(2003)
Bioinformatics
, vol.19
, pp. 368-375
-
-
Reiner, A.1
Yekutieli, D.2
Benjamini, Y.3
-
24
-
-
44049089536
-
-
Cheng C, An adaptive significance threshold criterion for massive multiple hypotheses testing, in The Second Erich L. Lahmann Symposium - Optimality, Institute of Mathematical Statistics, Lecture Notes-Monograph Series 49, Institute of Mathematical Statistics, Beachwood, OH, pp. 62-95, 2006.
-
Cheng C, An adaptive significance threshold criterion for massive multiple hypotheses testing, in The Second Erich L. Lahmann Symposium - Optimality, Institute of Mathematical Statistics, Lecture Notes-Monograph Series Vol. 49, Institute of Mathematical Statistics, Beachwood, OH, pp. 62-95, 2006.
-
-
-
-
25
-
-
34250784934
-
Robust statistical inference for high-dimensional data models with application to genomics
-
Sen PK, Robust statistical inference for high-dimensional data models with application to genomics, Austrian J Stat 35 2&3):197-214, 2006.
-
(2006)
Austrian J Stat
, vol.35
, Issue.2-3
, pp. 197-214
-
-
Sen, P.K.1
|