Methodology article
Systematic identification of transcription factors associated with patient survival in cancers
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* Corresponding author: Mark Gerstein mark.gerstein@yale.edu
1 Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
2 Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
3 Department of Mathematics, University of Southern California, Los Angeles, CA 90089, USA
4 Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
5 Department of Computer Science, Yale University, New Haven, CT, USA
BMC Genomics 2009, 10:225 doi:10.1186/1471-2164-10-225
Published: 15 May 2009Additional files
Additional file 1:
Complete results for breast cancer. Spearman correlation coefficient between PWM activity and survival is calculated based on 98 samples from patients with breast cancer.
Format: XLS Size: 63KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 2:
Survival analysis of ER-positive and ER-negative breast cancer subgroups. The survival curves are estimated using the Kaplan-Meier method and the difference between subgroups is examined by the log-rank test.
Format: PDF Size: 10KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 3:
Complete results for ER-positive breast cancer. Spearman correlation coefficient between PWM activity and survival is calculated based on 53 samples from patients with ER-positive breast cancer.
Format: XLS Size: 63KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 4:
Complete results for ER-negative breast cancer. Spearman correlation coefficient between PWM activity and survival is calculated based on 44 samples from patients with ER-negative breast cancer.
Format: XLS Size: 63KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 5:
Complete results for acute myeloid leukemia. Spearman correlation coefficient between PWM activity and survival is calculated based on 116 samples from patients with acute myeloid leukemia.
Format: XLS Size: 63KB Download file
This file can be viewed with: Microsoft Excel Viewer