Transcriptional profiling of mesothelioma using microarrays.

[1]  William N. Venables,et al.  Modern Applied Statistics with S-Plus. , 1996 .

[2]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[3]  S. Gullans Of microarrays and meandering data points , 2000, Nature Genetics.

[4]  G. Leikauf,et al.  Differential gene expression in mesothelioma , 2000, FEBS letters.

[5]  R. Tibshirani,et al.  Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[6]  John Quackenbush,et al.  Computational genetics: Computational analysis of microarray data , 2001, Nature Reviews Genetics.

[7]  B. Rihn,et al.  [Gene expression profiling in human mesothelioma cells using DNA microarray and high-density filter array technologies]. , 2001, Bulletin du cancer.

[8]  S. Knuutila,et al.  Gene expression profiling of malignant mesothelioma cell lines: cDNA array study , 2001, International journal of cancer.

[9]  S. Ramaswamy,et al.  Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma. , 2002, Cancer research.

[10]  G. Gordon,et al.  A prognostic test for adenocarcinoma of the lung from gene expression profiling data. , 2003, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[11]  Sunil Singhal,et al.  Gene expression profiling of malignant mesothelioma. , 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.

[12]  M. Martinelli,et al.  Microarray analysis and RNA silencing link fra-1 to cd44 and c-met expression in mesothelioma. , 2003, Cancer research.

[13]  J. Blumenstock,et al.  Using gene expression ratios to predict outcome among patients with mesothelioma. , 2003, Journal of the National Cancer Institute.

[14]  F. Galateau-Sallé,et al.  Cell protection, resistance and invasiveness of two malignant mesotheliomas as assessed by 10K-microarray. , 2004, Biochimica et biophysica acta.

[15]  Sorin Draghici,et al.  Gene Expression Profiles Predict Survival and Progression of Pleural Mesothelioma , 2004, Clinical Cancer Research.

[16]  G. Gordon,et al.  A diagnostic test for prostate cancer from gene expression profiling data. , 2004, The Journal of urology.

[17]  S. Burdach,et al.  Discrimination of human lung neoplasm from normal lung by two target genes. , 2004, American journal of respiratory and critical care medicine.

[18]  B. Rihn,et al.  Microdissection, mRNA amplification and microarray: a study of pleural mesothelial and malignant mesothelioma cells. , 2004, Biochimie.

[19]  Chuong D. Hoang,et al.  Gene expression profiling identifies matriptase overexpression in malignant mesothelioma. , 2004, Chest.

[20]  David J Sugarbaker,et al.  Tumorigenesis and Neoplastic Progression Identification of Novel Candidate Oncogenes and Tumor Suppressors in Malignant Pleural Mesothelioma Using Large-Scale Transcriptional Profiling , 2005 .

[21]  R. Jensen,et al.  Validation of Genomics-Based Prognostic Tests in Malignant Pleural Mesothelioma , 2005, Clinical Cancer Research.