no. 1-2
On the synthesis of microarray experiments
Journal de la société française de statistique, Tome 146 (2005) no. 1-2, pp. 173-194. 
@article{JSFS_2005__146_1-2_173_0,
     author = {Gentleman, Robert and Ruschhaupt, Markus and Huber, Wolfgang},
     title = {On the synthesis of microarray experiments},
     journal = {Journal de la soci\'et\'e fran\c caise de statistique},
     pages = {173--194},
     publisher = {Soci\'et\'e fran\c caise de statistique},
     volume = {146},
     number = {1-2},
     year = {2005},
     language = {fr},
     url = {archive.numdam.org/item/JSFS_2005__146_1-2_173_0/}
}
Gentleman, Robert; Ruschhaupt, Markus; Huber, Wolfgang. On the synthesis of microarray experiments. Journal de la société française de statistique, Tome 146 (2005) no. 1-2, pp. 173-194. http://archive.numdam.org/item/JSFS_2005__146_1-2_173_0/

Böning D., Malzhan U., Dietz E. et al. (2002). Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator, Biostatistics, 3:445-457. | Zbl 1138.62348

Brockwell S. E., Gordon I. R. (2001). A comparison of statistical methods for meta-analysis, Statistics in Medicine, 20:825-840.

Choi J. K., Yu U., Kim S. et al. (2003). Combining multiple microarray studies and modeling interstudy variation, Bioinformatics, 19, Suppl. 1:184-190.

Cox D.R., Solomon P.J. (2003). Components of Variance, Chapman and Hall, New York. | MR 1998234 | Zbl 1024.62033

Crainiceanu C. M, Ruppert D. (2004). Likelihood ratio tests in linear mixed models with one variance component, JRSS, B, 66:165-185. | MR 2035765 | Zbl 1061.62027

Dersimonian R., Laird N. M. (1986). Meta-Analysis in clinical trials, Controlled Clinical Trials, 7:177-188.

Dudoit S., Shaffer J. P., Boldrick J. C. (2003). Multiple hypothesis testing in microarray experiments, Statistical Science, 18:71-103. | MR 1997066 | Zbl 1048.62099

Glass G. V. (1976). Primary, secondary and meta-analysis of research, Educational Researcher, 5:3-8.

Irizarry R.A., Spencer F. et al. (2005). Multiple-laboratory comparison of microarray platforms, Nature Methods, 2:345-350.

Parmigiani G., Garrett-Mayer E., Anbazhagan R. et al. (2004). A cross-study comparison of gene expression studies for the molecular classification of lung cancer, Clincal Cancer Research, 10:2922-2927.

Pinhelro J.C., Bates D.M. (2000). Mixed-effects models in S and S-PLUS, Springer, New York. | Zbl 0953.62065

Reiner A., Yekutieli D., Benjamini Y. (2003). Identifying differentially expressed genes using false discovery rate controlling procedures, Bioinformatics, 19:368-375.

Roepman P., Wessels Lfa., Kettelarij N. et al. (2005). An expression profile for diagnosis of lymph node metastases from primary head and neck squamous cell carcinomas, Nat Genet, 37(2):182-186, Feb.

Self S. G., Liang K-Y. (1987). " Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions", Journal of the American Statistical Association, 82:605-610. | MR 898365 | Zbl 0639.62020

Stram D. O., Lee J. W. (1994). Variance components testing in the longitudinal mixed effects model, Biometrics, 50:1171-1177. | Zbl 0826.62054

Van'T Veer L., Dai H., Van De Vijver Mj. et al. (2002). Gene expression profiling predicts clinical outcome of breast cancer, Nature, 415:530-536.

West M., Blanchette C., Dressman H. et al. (2001). Predicting the clinical status of human breast cancer by using gene expression profiles, Proc Natl Acad Sci USA, 98(20):11462-11467.