Yijuan Hu

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Publications (22)

• Benchmarking Statistical Methods for Differential Composition Analysis in Population-Scale Single-Cell Data
  2026 DOI: 10.64898/2026.11.04.764099
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• TCVS: tree-guided compositional variable selection analysis of microbiome data
  Bioinformatics 2025 DOI: 10.1093/bioinformatics/btaf617
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• MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing
  Statistics in Medicine 2024 DOI: 10.1002/sim.9959
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• Comparison of genomic diversity between single and pooled Staphylococcus aureus colonies isolated from human colonization cultures
  Microbial Genomics 2023 DOI: 10.1099/mgen.0.001111
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• Compositional analysis of microbiome data using the linear decomposition model (LDM)
  Bioinformatics 2023 DOI: 10.1093/bioinformatics/btad668
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• Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency
  2023 DOI: 10.1101/2023.06.27.546795
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• Comparison of genomic diversity between single and pooledStaphylococcus aureuscolonies isolated from human colonisation cultures
  2023 DOI: 10.1101/2023.06.14.544959
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• Testing microbiome associations with survival times at both the community and individual taxon levels
  PLOS Computational Biology 2022 DOI: 10.1371/journal.pcbi.1010509
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• A rarefaction-without-resampling extension of PERMANOVA for testing presence–absence associations in the microbiome
  Bioinformatics 2022 DOI: 10.1093/bioinformatics/btac399
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• LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control
  Proceedings of the National Academy of Sciences 2022 DOI: 10.1073/pnas.2122788119
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• A new approach to testing mediation of the microbiome at both the community and individual taxon levels
  Bioinformatics 2022 DOI: 10.1093/bioinformatics/btac310
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• Integrative analysis of relative abundance data and presence–absence data of the microbiome using the LDM
  Bioinformatics 2022 DOI: 10.1093/bioinformatics/btac181
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• eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects
  PLOS Genetics 2022 DOI: 10.1371/journal.pgen.1010076
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• Testing Mediation Effects in High-Dimensional Microbiome Data with False Discovery Rate Control
  2021 DOI: 10.21203/rs.3.rs-1105471/v1
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• Constraining PERMANOVA and LDM to within-set comparisons by projection improves the efficiency of analyses of matched sets of microbiome data
  Microbiome 2021 DOI: 10.1186/s40168-021-01034-9
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• LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control
  2021 DOI: 10.21203/rs.3.rs-965818/v1
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• Exploring the Vaginal Microbiome and Intravaginal Practices in Postmenopausal Women
  Nursing Research 2021 DOI: 10.1097/NNR.0000000000000538
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• A Rarefaction-Without-Resampling Extension of PERMANOVA for Testing Presence-Absence Associations in The Microbiome
  2021 DOI: 10.21203/rs.3.rs-774776/v1
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• A rarefaction-based extension of the LDM for testing presence–absence associations in the microbiome
  Bioinformatics 2021 DOI: 10.1093/bioinformatics/btab012
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• Sexual Differences in Genetic Predisposition of Coronary Artery Disease
  Circulation: Genomic and Precision Medicine 2021 DOI: 10.1161/CIRCGEN.120.003147
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