Todd Vision

This study analyzes whether synthesis center publications are more diverse than others, finding greater variety and balance but less disparity, even after accounting for collaboration size.

The paper compares the statistical sensitivity of five semantic similarity metrics and four aggregation methods for biological objects, finding that Resnik similarity and Groupwise aggregation perform best.

The paper introduces a Gold Standard corpus for ontology-based phenotype annotation and evaluates a tool's performance against human annotations.

This study evaluates how varying levels of annotation granularity affect semantic similarity metrics in phenotype profiles, finding that coarse annotations may suffice for detecting significant similarity.

This study examines how including homology axioms affects semantic similarity between orthologous and non-orthologous gene pairs across human, mouse, and zebrafish species.

The paper demonstrates how the Phenoscape Knowledgebase links genetic perturbations to phenotypic evolution by comparing phenotypic profiles across species.