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The dChip survival analysis module for microarray data |
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| Authors: | Samir B Amin Parantu K Shah Aimin Yan Sophia Adamia Stéphane Minvielle Hervé Avet-Loiseau Nikhil C Munshi Cheng Li |
| Institution: | 1.Department of Biostatistics and Computational Biology,Dana-Farber Cancer Institute and Harvard School of Public Health,Boston,USA;2.Department of Medical Oncology,Dana-Farber Cancer Institute,Boston,USA;3.Hematology Department,University Hospital,Nantes,France;4.Centre de Recherche en Cancérologie,INSERM U892,Nantes,France;5.Veterans Administration Boston Healthcare System and Harvard Medical School,West Roxbury,USA |
| Abstract: | BackgroundGenome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene expression based biomarkers in breast cancer. Similar predictions have recently been carried out using genome-wide copy number alterations and microRNAs. Existing software packages for microarray data analysis provide functions to define expression-based survival gene signatures. However, there is no software that can perform survival analysis using SNP array data or draw survival curves interactively for expression-based sample clusters. |
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