Area of research
Cancer Research · Molecular Biology
Research interest
Research focused on Small nucleolar RNA and Computational biology, with related work in Disease, Gene knockdown, Hypergraph. Notable publications include 'LncRNA NEAT1 Promotes Inflammatory Response in Sepsis via the miR-31-5p/POU2F1 Axis', 'HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network', and 'IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network'.
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations
LncRNA NEAT1 Promotes Inflammatory Response in Sepsis via the miR-31-5p/POU2F1 Axis
GCNSDA: Predicting snoRNA-disease associations via graph convolutional network