Area of research
Cancer Research · Molecular Biology
Research interest
Research focused on Competing endogenous RNA and microRNA, with related work in Computational biology, Immunohistochemistry, Cancer immunotherapy. Notable publications include 'Neutrophils infiltrating pancreatic ductal adenocarcinoma indicate higher malignancy and worse prognosis', 'Next-generation proteasome inhibitor MLN9708 sensitizes breast cancer cells to doxorubicin-induced apoptosis', and 'Data resources and computational methods for lncRNA-disease association prediction'.
Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy
Homo-Tag-Assembler Assay for Full-Length Antibody Sequencing
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions
A Controllability Reinforcement Learning Method for Pancreatic Cancer Biomarker Identification
Data resources and computational methods for lncRNA-disease association prediction
Evaluation of Immune Infiltration Based on Image Plus Helps Predict the Prognosis of Stage III Gastric Cancer Patients with Significantly Different Outcomes in Northeastern China
Contribution of structural accessibility to the cooperative relationship of TF-lncRNA in myopia
RNA sequencing analysis of small cell lung cancer reveals candidate chemotherapy insensitivity long noncoding RNAs and microRNAs
Neutrophils infiltrating pancreatic ductal adenocarcinoma indicate higher malignancy and worse prognosis
Identifying autophagy gene-associated module biomarkers through construction and analysis of an autophagy-mediated ceRNA‑ceRNA interaction network in colorectal cancer
Next-generation proteasome inhibitor MLN9708 sensitizes breast cancer cells to doxorubicin-induced apoptosis
Identifying survival-associated ceRNA clusters in cholangiocarcinoma
Detection of down regulation protein expression in gastric cancer cells induced by Trichostatin A