Hao Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Top Venues

Briefings in functional genomics

Interdisciplinary sciences, computational life sciences

Communications biology

Briefings in bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Yao Zhang, Pengyu Zhang, Hao Wu
Enhancer-MDLF: a novel deep learning framework for identifying cell-specific enhancers. Briefings in bioinformatics 25 (2) (2024)
Yingfu Wu, Zhenqi Shi, Xiangfei Zhou, Pengyu Zhang, Xiuhui Yang, Jun Ding, Hao Wu
scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information. Communications biology 7 (1) (2024)
Yuchen Wang, Xianchun Kong, Xiao Bi, Lizhen Cui, Hong Yu, Hao Wu
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism. Interdisciplinary sciences, computational life sciences 16 (2) (2024)
Yingfu Wu, Zhenqi Shi, Xiangfei Zhou, Pengyu Zhang, Xiuhui Yang, Jun Ding, Hao Wu
scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information. Communications biology 7 (1) (2024)
Bing Zhou, Quanzhong Liu, Meili Wang, Hao Wu
Deep neural network models for cell type prediction based on single-cell Hi-C data. BMC genomics 22 (Suppl 5) (2024)
Yingfu Wu, Zhenqi Shi, Xiangfei Zhou, Pengyu Zhang, Xiuhui Yang, Jun Ding, Hao Wu
scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information. Communications biology 7 (1) (2024)
Yuchen Wang, Xianchun Kong, Xiao Bi, Lizhen Cui, Hong Yu, Hao Wu
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism. Interdisciplinary sciences, computational life sciences (2024)
Hao Wu, Haoru Zhou, Bing Zhou, Meili Wang
SCMcluster: a high-precision cell clustering algorithm integrating marker gene set with single-cell RNA sequencing data. Briefings in functional genomics (2023)
Hao Wu, Bing Zhou, Haoru Zhou, Pengyu Zhang, Meili Wang
Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning. Briefings in functional genomics (2023)
Hao Wu, Mengdi Liu, Pengyu Zhang, Hongming Zhang
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information. Briefings in functional genomics (2023)
Pengyu Zhang, Hongming Zhang, Hao Wu
iPro-WAEL: a comprehensive and robust framework for identifying promoters in multiple species. Nucleic acids research 50 (18) (2022)
Pengyu Zhang, Yingfu Wu, Haoru Zhou, Bing Zhou, Hongming Zhang, Hao Wu
CLNN-loop: a deep learning model to predict CTCF-mediated chromatin loops in the different cell lines and CTCF-binding sites (CBS) pair types. Bioinformatics (Oxford, England) 38 (19) (2022)
Zhongli Chen, Biting Liang, Yingfu Wu, Haoru Zhou, Yuchen Wang, Hao Wu
Identifying driver modules based on multi-omics biological networks in prostate cancer. IET systems biology 16 (6) (2022)
Hao Wu, Zhongli Chen, Yingfu Wu, Hongming Zhang, Quanzhong Liu
Integrating Protein-Protein Interaction Networks and Somatic Mutation Data to Detect Driver Modules in Pan-Cancer. Interdisciplinary sciences, computational life sciences (2021)