Yin Liu

This paper introduces UOT-IOT, an inverse optimal transport framework for single-cell state transitions, showing improved identifiability and performance over existing methods.

This study analyzes RNA sequencing data on Staphylococcus aureus biofilm formation using machine learning and co-expression analysis to identify functional modules and novel protein interactions, and develops a database for storing and analyzing the data.