Research Projects

eCAMI

eCAMI is a Python package for CAZyme classification, motif identification, and genome annotation, which is based on a bipartite network algorithm.

APIN

APIN is a Python tool for antimicrobial peptide sequences identification. It is based on a deep learning structure named “multi-scale convolutional network” which contains multiple convolutional layers of various filter lengths. Therefore, it could utilize all latent features captured by the multiple convolutional layers. Besides, redundant information is incporporated into this structure to further improve the performance.

ECGUFS

ECGUFS is an ensemble method based on consensus-guided unsupervised feature selection (CGUFS) in order to further improve the accuracy and the stability of disease-associated genes identification.