Identifying microRNA/mRNA dysregulations in ovarian cancer
1 The Cancer Institute of New Jersey, New Brunswick, NJ, USA
2 Department of Bioinformatics and Systems Biology, Boston University, Boston, MA, USA
3 BioMaPS Institute, Rutgers University, Busch Campus, Piscataway, NJ, USA
4 Department of Molecular Biology & Biochemistry; Department of Physics, Rutgers University, Piscataway, NJ, USA
5 Institute for Advanced Study, Simons Center for Systems Biology, Princeton, NJ, USA
BMC Research Notes 2012, 5:164 doi:10.1186/1756-0500-5-164Published: 27 March 2012
Additional file 1:
Table S1 MicroRNAs separating tumour from normal samples. 127 microRNAs are significantly differentially expressed and robustly separate tumour samples from normal samples.
Format: XLSX Size: 10KB Download file
Additional file 2:
Table S2 Samples used for analysis. This table identifies the 258 tumor samples and 6 normal samples with matched microRNA/mRNA data from the TCGA sample set which were retained for analysis ambiguous samples were removed using consensus ensemble clustering (see Methods for details).
Format: XLSX Size: 12KB Download file