Manolis Kellis

Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data

2019 · arXiv (Cornell University)

Summary statistics of genome-wide association studies (GWAS) teach causal relationship between millions of genetic markers and tens and thousands of phenotypes. However, underlying biological mechanisms are yet to be elucidated. We can achieve necessary interpretation …

NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters

2021 · arXiv (Cornell University)

Context-specific Bayesian networks (i.e. directed acyclic graphs, DAGs) identify context-dependent relationships between variables, but the non-convexity induced by the acyclicity requirement makes it difficult to share information between context-specific estimators (e.g. with graph generator functions). …

LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

2023 · arXiv (Cornell University)

We show that large language models (LLMs) are remarkably good at working with interpretable models that decompose complex outcomes into univariate graph-represented components. By adopting a hierarchical approach to reasoning, LLMs can provide comprehensive model-level …