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Multi-Omics Study Design & Data Integration Resource Analytic Resources
NYU Langone’s Multi-Omics Study Design and Data Integration Resource (MOSDIR) offers resources to researchers, including a monthly journal club.
Journal Clubs
The Multi-Omics Data Integration journal club convenes monthly to review a significant multi-omics paper, promoting our knowledge and keeping us up to date with the latest advances in the field. Typically, our journal club meetings are held on the fourth Friday of each semester. We offer a hybrid format, enabling participation either in person or via Webex. To express your interest in joining, please reach out to us at Huilin.Li@NYULangone.org, and we will promptly provide further details.
In our recent sessions, we've studied the following papers:
- Diray-Arce J, et al (2023). Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients. Cell Reports Medicine, 4(6).
- Lin H and Peddada SD (2024). Multigroup analysis of compositions of microbiomes with covariate adjustments and repeated measures. Nature Methods, 21(1), pp.83-91.
- Hu Y, Satten GA and Hu YJ (2022). 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, 119(30), p.e2122788119.
- Tang X, et al (2023). Explainable multi-task learning for multi-modality biological data analysis. Nature communications, 14(1), p.2546.