The following grants and programs support the Lin Lab’s statistical methodological research:
- Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research (2015-2029) – the National Cancer Institute (NCI)
- Statistical Methods for Integrative Analysis of Large-Scale Multi-Ethnic Whole Genome Sequencing Studies and Biobanks of Common Diseases – the National Heart, Lung, and Blood Institute
- Impact of Genomic Variation on Function (IGVF) – Program of the National Human Genome Research Institute (NHGRI)
- Integrative Analysis of Lung Cancer Etiology and Risk – Baylor College of Medicine
- T32 training grant on interdisciplinary training in statistical genetics and computational biology
- Emerging Statistical and Quantitative Issues in Genomic Research in Health Sciences – National Science Foundation
- Interactive Data Portals and Robust Analytics Tools to Wrap PASC Cohorts (iDRAW) – Massachusetts General Hospital
- Predictive Modeling of the Functional and Phenotypic Impacts of Genetic Variants – University of Massachusetts Medical School