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)

Project Activity

See All Activity >

Follow pSVA

pSVA Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of pSVA!

Additional Project Details

Registered

2013-08-12
Report inappropriate content