Browse Code
pSVA
====
permuted SVA is an algorithm that uses a new statistical model that is blind to biological covariates to correct for technical artifacts while retaining biological heterogeneity in genomic data. This algorithm facilitated accurate subtype identification in head and neck cancer from gene expression data in both formalin fixed and frozen samples. When applied to predict HPV status, pSVA improved cross-study validation even if the sample batches were highly confounded with HPV status in the training set.
Details about the algorithm and these results are published as Parker et al. (2014) Bioinformatics (http://dx.doi.org/10.1093/bioinformatics/btu375)
Follow pSVA
Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of pSVA!
