Machine learning,bioinformatics,Adipocytes,obesity

Machine learning based bioinformatics analysis of intron usage alterations and metabolic regulation in adipose browning

This study used machine learning and bioinformatics to uncover how alternative splicing events regulate the browning of white fat cells, a process with potential for obesity treatment. Notably, it identified an intron retention event in the Usf2 gene that may ...

Deep learning

Object Detection Using Active Learning

This study presents an object detection model enhanced with active learning to reduce labeling costs and data requirements. Experiments showed that by labeling only a smaller, carefully selected subset of data, the model achieved nearly the same performance as...