B. M. Moore

Modulation of cannabinoid receptor 2 alters neuroinflammation and reduces formation of alpha-synuclein aggregates in a rat model of nigral synucleinopathy

This study shows that targeting CB2 with SMM-189 reduces alpha-synuclein aggregates and neuroinflammation in a rat model of Parkinson's disease.

Genome-wide predictions of genetic redundancy in Arabidopsis thaliana

This study develops a machine learning model to predict genetic redundancy in Arabidopsis thaliana using diverse features, identifying key predictors like recent duplication and stress-related expression.

Modeling gene regulation in response to wounding: temporal variations, hormonal variations, and specialized metabolism pathways induced by wounding

The paper models gene regulation in plants after wounding using machine learning, identifying cis-regulatory elements and showing their role in temporal and hormonal responses.

Optimizing the use of gene expression data to predict plant metabolic pathway memberships

This study predicts plant metabolic pathway memberships using gene expression data and machine learning, finding that unsupervised learning and expression similarity outperform naive methods in some cases.

Within and cross species predictions of plant specialized metabolism genes using transfer learning

The paper uses transfer learning to predict specialized metabolism genes in tomato by leveraging annotations from Arabidopsis thaliana, improving prediction accuracy.

Robust predictions of specialized metabolism genes through machine learning

The paper develops a machine learning model to predict specialized metabolism genes in Arabidopsis thaliana by integrating multiple genomic features, achieving high accuracy in identification.

Factors influencing gene family size variation among related species in a plant family

The paper investigates gene family size variation in Solanaceae species, finding relationships between gene function, duplication mechanisms, and evolutionary rates.