Trainee Work-in-Progress: High-Dimensional Inference with De-biased Sparse Canonical Correlation Analysis: Discovering Novel Gene-Protein Networks in Cancer Studies

Nathan Huey, Doctoral Student in Biostatistics, Harvard T.H. Chan School of Public Health, MEMCARE-SRC Data Management and Analysis Core (DMAC) will present his work on  High-Dimensional Inference with De-biased Sparse Canonical Correlation Analysis: Discovering Novel Gene-Protein Networks in Cancer Studies. Trainee Work-in-Progress seminars are open to MEMCARE-SRC Center members only.