Pi-Jing Wei

Orcid: 0000-0003-2770-8781

According to our database1, Pi-Jing Wei authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder.
Frontiers Comput. Sci., December, 2024

MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infection.
Comput. Biol. Medicine, 2024

Inference of gene regulatory networks based on directed graph convolutional networks.
Briefings Bioinform., 2024

DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding.
Briefings Bioinform., 2024

2023
CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images.
Sensors, October, 2023

CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-ranking.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.
Comput. Methods Programs Biomed., 2022

Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Double matrix completion for circRNA-disease association prediction.
BMC Bioinform., 2021

Identification of driver genes based on gene mutational effects and network centrality.
BMC Bioinform., 2021

2019
Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score.
Proceedings of the Intelligent Computing Theories and Application, 2019

2017
DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes.
Complex., 2017

2016
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.
BMC Bioinform., 2016

Srrr-cluster: Using Sparse Reduced-Rank Regression to Optimize iCluster.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Cancer genes discovery based on integtating transcriptomic data and the impact of gene length.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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