Article Information
History
- July 10, 2018.
Article Versions
- You are currently viewing Version 1 of this article (July 10, 2018 - 16:40).
- View Version 2, the most recent version of this article.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Author Information
- 1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
- 2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
- 3Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
- 4Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
- 5Yale School of Management, New Haven, Connecticut, USA.
- 6Department of Computer Science, Yale University, New Haven, Connecticut, USA.
Posted July 10, 2018.
SigLASSO: a LASSO approach jointly optimizing sampling likelihood and cancer mutation signatures
