- Data Sets
- Training Resources
CPCP seminar: Lessons (Not) to be Learned from the Debate about Genetic Privacy Seminar Video
Talk by Ellen Wright Clayton MD, JD, Vanderbilt University
Statistical tests and identifiability conditions for pooling and analyzing multisite datasets
Integrative genomic analysis predicts causative cis-regulatory mechanisms of the breast cancer-associated genetic variant rs4415084
atSNP Search is a web tool that evaluates the impact of single nucleotide polymorphisms (SNPs) on transcription factor binding (TF) in silico. It statistically quantifies whether any given SNP from the dbSNP Build 144 is likely to lead to gain and/or loss of function for binding of any TF from existing TF binding profile databases.
RKColocal provides baisc functions for dual-channel image input/output and colocalization analysis. RKColocal includes tools to display joint distribution of pixel intensities for colocalization analysis, evaluate the average degree of colocalization in a given region, qunatify the degree of colocalization at each pixel and identify colocalized region.
CPCP Seminar: Project Fairsquare Seminar Video
Talk by Aws Albarghouthi PhD, University of Wisconsin Department of Computer Sciences
CPCP Seminar: Friends Don't Let Friends Use Black-Box Models: The Importance of Intelligibility in Machine Learning for Healthcare Seminar Video
Talk by Rich Caruana PhD, Microsoft Research
CPCP Seminar: The Bounty of the Commons Seminar Video
Casey Greene, PhD University of Pennsylvania Abstract: This is an exciting time in biomedical data science. It is now possible to collect substantial information about individuals and their encounters with health care. Our ultimate goal is to integrate this data, along with data and findings from those engaged in basic science, to identify new opportunities to improve health. Broad data sharing will further our progress towards this goal. However, data sharing poses both cultural and technological challenges. I'll discuss our work to address technical issues, including analysis approaches that lift techniques from the field of software engineering and data sharing approaches that employ deep generative neural networks. I'll also touch on our work to shift cultures, including the research parasite and research symbiont awards (applications for each due Sept 30!).
Anxiety-related experience-dependent white matter structural differences in adolescence: A monozygotic twin difference approach
When can multi-site datasets be pooled for regression? Hypothesis tests, L2-consistency and neuroscience applications