Software developed by Dr. Huang and lab members

• GroupAcc - a statistical framework for inferring weakly accelerated evolution in transcription factor binding sites
• MK regression - a hybrid of the MK test and linear regression for inferring causal genomic features of positive selection
• UNEECON - a deep learning model for unified variant and gene prioritization in the human genome
• LASSIE - a statistical model for estimating allele-specific fitness effects of nonsynonymous mutations
• LINSIGHT - a statistical model for predicting deleterious noncoding variants in the human genome