Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Ning Hao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Training data diversity enhances the basecalling of novel RNA modification-induced nanopore sequencing readouts
Wang, Z., Liu, Z., Fang, Y., Zhang, H. H., Sun, X., Hao, N., Que, J. & Ding, H., Dec 2025, In: Nature communications. 16, 1, 679.Research output: Contribution to journal › Article › peer-review
Open Access -
Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection
Wang, Z., Fang, Y., Liu, Z., Hao, N., Zhang, H. H., Sun, X., Que, J. & Ding, H., Dec 2024, In: Nature communications. 15, 1, 7148.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Simultaneous change-point detection and curve estimation*
Lu, Z., Hao, N. & Zhang, H. H., 2024, In: Statistics and its Interface. 17, 3, p. 493-500 8 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Equivariant variance estimation for multiple change-point model
Hao, N., Niu, Y. S. & Xiao, H., 2023, In: Electronic Journal of Statistics. 17, 2, p. 3811-3853 43 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Quadratic discriminant analysis by projection
Wu, R. & Hao, N., Jul 2022, In: Journal of Multivariate Analysis. 190, 104987.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations
Datasets
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Raw data for Training Data Diversity Enhances the Basecalling of Novel RNA Modification-Induced Nanopore Sequencing Readouts
Wang, Z. (Creator), Liu, Z. (Creator), Fang, Y. (Contributor), Zhang, H. H. (Contributor), Sun, X. (Contributor), Hao, N. (Contributor), Que, J. (Contributor) & Ding, H. (Creator), University of Arizona Research Data Repository, 2024
DOI: 10.25422/azu.data.27976647.v2, https://arizona.figshare.com/articles/dataset/Raw_data_for_i_Training_Data_Diversity_Enhances_the_Basecalling_of_Novel_RNA_Modification-Induced_Nanopore_Sequencing_Readouts_i_/27976647/2
Dataset
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Raw data for Training Data Diversity Enhances the Basecalling of Novel RNA Modification-Induced Nanopore Sequencing Readouts
Wang, Z. (Creator), Liu, Z. (Creator), Fang, Y. (Contributor), Zhang, H. H. (Contributor), Sun, X. (Contributor), Hao, N. (Contributor), Que, J. (Contributor) & Ding, H. (Creator), University of Arizona Research Data Repository, 2024
DOI: 10.25422/azu.data.27976647, https://arizona.figshare.com/articles/dataset/Raw_data_for_i_Training_Data_Diversity_Enhances_the_Basecalling_of_Novel_RNA_Modification-Induced_Nanopore_Sequencing_Readouts_i_/27976647
Dataset
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Interaction Screening for Ultrahigh-Dimensional Data
Hao, N. (Creator) & Zhang, H. H. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.7037666, https://tandf.figshare.com/articles/Interaction_Screening_for_Ultrahigh-Dimensional_Data/7037666
Dataset
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Interaction Screening for Ultrahigh-Dimensional Data
Hao, N. (Creator) & Zhang, H. H. (Creator), Taylor & Francis, 2018
DOI: 10.6084/m9.figshare.7037666.v1, https://tandf.figshare.com/articles/Interaction_Screening_for_Ultrahigh-Dimensional_Data/7037666/1
Dataset