Yun Hao

Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs

Mixture modeling of 239 phenotype features in 5,392 SPARK autistic children defines four replicable classes carrying distinct common and rare variant signatures and developmental gene-timing patterns.

Hetnet connectivity search provides rapid insights into how two biomedical entities are related

The paper introduces hetnet connectivity search to find meaningful relationships between biomedical entities in heterogeneous networks without requiring supervised training data.

Predicting the Toxicity of Druggable Proteins to Human Tissues

This paper introduces TissueTox, an algorithm that predicts tissue toxicity of druggable proteins using multi-omic features and distinguishes between successful and failed drugs.

Predicting negative control drugs to support research in drug safety

This paper introduces SIDERctrl, a method to predict negative control drugs for side effects, reducing false negatives by one-third using AEOLUS data.