Diversity of gene expression in adenocarcinoma of the lung

By Mitchell E. Garber, Olga G. Troyanskaya, K. Schluens, S. Petersen, Zsuzsanna Thaesler, M. Pacyna‐Gengelbach, M. van de Rijn, G. Rosen, Charles M. Perou, R. Whyte and 4 more. Proceedings of the National Academy of Sciences of the United States of America, 2001

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American Society of Clinical Oncology treatment of unresectable non-small-cell lung cancer guideline: update 2003. (2004, neutral): “stage NSCLC have been published [190,191].”
Pvclust: an R package for assessing the uncertainty in hierarchical clustering (2006, methodology): “The data are expression pattern of 916 genes of Garber et al. (2001). Values at branches are AU p-values (left), BP values (right), and cluster labels (bottom).”
Clustering cancer gene expression data: a comparative study (2008, neutral): “Armstrong-V1 [52] Affy Blood 72 2 24,48 12582 1081 Armstrong-V2 [52] Affy Blood 72 3 24,20,28 12582 2194 Bhattacharjee [9] Affy Lung 203 5 139,17,6,21,20 12600 1543 Chowdary [13] Affy Breast, Colon 104 2 62,42 22283 182 Dyrskjot [14] Affy Bladder 40 3 9,20,11 7129 1203 Golub-V1 [3] Affy Bone marrow ”
Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Prediction (2010, methodology): “The largest overlap was found with histology signature identified by Garber et al [19], 12 out of 370 genes overlapped with our 75-probeset signature.”
An extensive comparison of recent classification tools applied to microarray data (2004, background): “Golub et al. (1999) found that 50 genes are adequate for leukemia data.”