J. Zhao

A Novel Model Based on CXCL8-Derived Radiomics for Prognosis Prediction in Colorectal Cancer

Qin Liu, Bin Huang, Ye-fan Zhang, 2020, Frontiers in Oncology.

Coupling HDAC4 with transcriptional factor MEF2D abrogates SPRY4-mediated suppression of ERK activation and elicits hepatocellular carcinoma drug resistance.

Leina Ma, Jia Liu, Wenwei Zhang, 2021, Cancer letters.

Accelerating bioactive peptide discovery via mutual information-based meta-learning

Balachandran Manavalan, Leyi Wei, R. Su, 2021, Briefings Bioinform..

Bioinformatics analysis identified RGS4 as a potential tumor promoter in glioma.

Jia Liu, W. Lili, Ruixue Yao, 2022, Pathology, research and practice.

The value of CT-based radiomics nomogram in differential diagnosis of different histological types of gastric cancer

Hongjie Hu, Fangyi Xu, Hao Huang, 2021, Physical and engineering sciences in medicine.

Predict the Protein-protein Interaction between Virus and Host through Hybrid Deep Neural Network

Jingpu Zhang, Lei Deng, Jiaojiao Zhao, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence

Jia Liu, Leina Ma, Qian Lin, 2022, Frontiers in Genetics.

Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer.

Qin Liu, Jun Zhang, Jiaojiao Zhao, 2021, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Development of an experiment-split method for benchmarking the generalization of a PTM site predictor: Lysine methylome as an example

Jiaojiao Zhao, Yang Zou, Lei Li, 2021, PLoS Comput. Biol..