Author

Hao Wu

Shandong UniversityORCID 0000-0003-2340-9258Unclaimed ORCID profile · follow to get notified of new preprints

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Hao Wu24 papers · University of Pennsylvania

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Jun DingiD· 2 shared Pengyu ZhangiD· 1 shared Xiangfei ZhouiD· 1 shared Xiuhui YangiD· 1 shared Yiming JiaiD· 1 shared Yingfu WuiD· 1 shared Zhenqi ShiiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Jun DingORCID

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2 papers

Recent·Most cited

BioinformaticsCommunications BiologyPeer-reviewedJul 31, 2024

scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information

Yingfu Wu, Zhenqi Shi, Xiangfei Zhou…·Hao Wu

scHiCyclePred predicts cell cycle phases from single-cell Hi-C data using multi-scale interaction features, outperforming existing methods.

27 citationstop 5%

Hi-Cdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 26, 2023

scGeneRythm: Using Neural Networks and Fourier Transformation to Cluster Genes by Time-Frequency Patterns in Single-Cell Data

Yiming Jia, Hao Wu, Jun Ding

scGeneRhythm clusters genes by time-frequency patterns in single-cell data using Fourier transformation and deep learning, outperforming traditional methods and revealing new biological insights.

DOI 10.1101/2023.11.26.568761

scRNA-seqdeep learning

𝕏 PostBluesky