Identifying TP53 mutation carrier is critical to people with Li-Fraumeni syndrome for cancer prevention and survival improvement. A new method is needed for clinical counselors because of the limitations of current clinical criteria. LFSpro is built on a Mendelian model and estimates the TP53 mutation probability through Elston-Stewart algorithm with accuracy. Unlike previously used models, our model incorporates de novo mutation rate, which greatly improved estimation accuracy.
Follow LFSpro
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of LFSpro!