• Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: Andrew Chen
Institution: University of Pennsylvania
Department: Department of Biostatistics
Proposed Analysis: Dimension reduction tools preserving similarity and graph structure can capture biological patterns in complex high-dimensional data. However, these tools cannot separate these patterns from unwanted effects due to confounders. We introduce the partial embedding (PARE) framework, which enables removal of confounders from any distance-based dimension reduction tool. We then develop partial $t$-SNE and partial UMAP, which effectively recover patterns in genomic and neuroimaging measures. We apply these methods to data from the Alzheimer's Disease Neuroimaging Initiative to isolate biological and technical variability.
Additional Investigators