Ni Zhao

Jan 15, 2025 | onlinelibrary.wiley.com | Amarise Little |Ni Zhao |Anna Mikhaylova |Angela Zhang

Conflicts of Interest L.M.R. is a consultant for the TOPMed Administrative Coordinating Center (through Westat). Supporting Information Filename Description gepi22610-sup-0001-supplement.pdf1.7 MB Supplementary Information gepi22610-sup-0002-supplement.pdf57.3 KB Supplementary Information References , , , et al. 2010. “A Method and Server for Predicting Damaging Missense Mutations.” Nature Methods 7, no. 4: 248–249. https://doi.org/10.1038/nmeth0410-248. , , , et al.

Nov 27, 2024 | biorxiv.org | Mengyu He |Ni Zhao |Johns Hopkins

AbstractBackground: Recent studies have highlighted the importance of human microbiota in our health and diseases. However, in many areas of research, individual microbiome studies often offer inconsistent results due to the limited sample sizes and the heterogeneity in study populations and experimental procedures. This inconsistency underscores the necessity for integrative analysis of multiple microbiome datasets.

Aug 13, 2024 | dx.doi.org | Ni Zhao |Zheng Zhang |Zichen Wang |Yongxin Fan

Mar 13, 2024 | biorxiv.org | Mengyu He |Ni Zhao |Johns Hopkins

AbstractRecent studies have highlighted the importance of human microbiota in our health and diseases. However, in many areas of research, individual microbiome studies often offer inconsistent results due to the limited sample sizes and the heterogeneity in study populations and experimental procedures. Integrative analysis of multiple microbiome datasets is necessary.