Jonathan Yinhao Huang

ICONIC: An R Package for Integrating Instrumental Variable- and Negative-Control-Informed Causal Discovery and Diagnostics in Multiomic Studies

ICONIC is an R package that integrates instrumental variable and negative-control methods for causal inference in multi-omic studies, offering diagnostics and benchmarks for mediation analysis.

Long-read transcriptome assembly reveals vast transcriptional complexity in the placenta associated with metabolic and endocrine function

The paper uses long-read RNA-seq to create a comprehensive placental transcriptome reference, revealing high transcriptional complexity and identifying novel isoforms associated with metabolic and endocrine functions in gestational diabetes.

Natural variation in transplacental transfer efficiency exposes distinct transcriptional network architectures of PFAS effects on birth weight and gestational age

The paper shows PFAS affect birth weight and gestational age through distinct transcriptional network architectures, with network position, not fold-change, determining mediator importance.