52 citations · 70 across the 6 of their papers we have counts for
6 papers
Docking-based Virtual Screening with Multi-Task Learning
Zijing Liu, Xianbin Ye, Xiaomin Fang +3
Machine learning shows great potential in virtual screening for drug discovery. Current efforts on accelerating docking-based virtual screening do not consider using existing data…
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction
Yang Xue, Zijing Liu, Xiaomin Fang +1
Protein-protein interactions (PPIs) are essentials for many biological processes where two or more proteins physically bind together to achieve their functions. Modeling PPIs is us…
Dimension Reduction for Data with Heterogeneous Missingness
Yurong Ling, Zijing Liu, Jing-Hao Xue
Dimension reduction plays a pivotal role in analysing high-dimensional data. However, observations with missing values present serious difficulties in directly applying standard di…
Similarity measure for sparse time course data based on Gaussian processes
Zijing Liu, Mauricio Barahona
We propose a similarity measure for sparsely sampled time course data in the form of a log-likelihood ratio of Gaussian processes (GP). The proposed GP similarity is similar to a B…
Graph-based data clustering via multiscale community detection
Zijing Liu, Mauricio Barahona
We present a graph-theoretical approach to data clustering, which combines the creation of a graph from the data with Markov Stability, a multiscale community detection framework.…
Geometric Multiscale Community Detection: Markov Stability and Vector Partitioning
Zijing Liu, Mauricio Barahona
Multiscale community detection can be viewed from a dynamical perspective within the Markov Stability framework, which uses the diffusion of a Markov process on the graph to uncove…