- JISTIC: identification of significant targets in cancerFelix Sanchez-Garcia
Department of Computer Science, Columbia University, New York, NY, USA
BMC Bioinformatics 11:189. 2010..As datasets measuring copy number aberrations in tumors accumulate, a major challenge has become to distinguish between those mutations that drive the cancer versus those passenger mutations that have no effect...
- Integration of genomic data enables selective discovery of breast cancer driversFelix Sanchez-Garcia
Department of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA Department of Computer Science, Columbia University, New York, NY 10027, USA
Cell 159:1461-75. 2014..We have demonstrated a powerful approach for identifying driver genes and how it can yield important insights into cancer...
- An integrated approach to uncover drivers of cancerUri David Akavia
Department of Biological Sciences, Columbia University, New York, NY 10027, USA
Cell 143:1005-17. 2010..Together, these results demonstrate the ability of integrative Bayesian approaches to identify candidate drivers with biological, and possibly therapeutic, importance in cancer...