Hao Wu

Orcid: 0000-0003-2340-9258

Affiliations:
  • Shandong University, School of Software, Jinan, China
  • Northwest A&F University, College of Information Engineering, Yangling, China


According to our database1, Hao Wu authored at least 12 papers between 2015 and 2024.

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

Timeline

Legend:

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Bibliography

2024
lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization.
IEEE J. Biomed. Health Informatics, January, 2024

2023
IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions.
IEEE J. Biomed. Health Informatics, September, 2023

MultiSimNeNc: A network representation learning-based module identification method by network embedding and clustering.
Comput. Biol. Medicine, April, 2023

2022
CLNN-loop: a deep learning model to predict CTCF-mediated chromatin loops in the different cell lines and CTCF-binding sites (CBS) pair types.
Bioinform., 2022

Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.
Briefings Bioinform., 2022

StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.
Briefings Bioinform., 2022

scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding.
Briefings Bioinform., 2022

scHiCSC: A Novel Single-Cell Hi-C Clustering Framework by Contact-Weight-Based Smoothing and Feature Fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.
Briefings Bioinform., July, 2021

Strategies of attack-defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment.
Eng. Appl. Artif. Intell., 2021

2016
Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

2015
Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
BMC Bioinform., 2015


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