A. M. Thompson

Individualized AI-driven Neuromodulation Selectively Enhances and Reorganizes Human Tongue Sensorimotor Networks.

This paper introduces an AI-driven neuromodulation platform that enhances and reorganizes human tongue sensorimotor networks by targeting individual network architecture.

Unveiling shared genetic regulators for plant architectural and biomass yield traits in sorghum

This study identifies genetic loci and haplotypes associated with plant architectural and biomass yield traits in sorghum using genome-wide association studies and network analysis.

Population level gene expression can repeatedly link genes to functions in maize

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.

Cross-species predictive modeling reveals conserved drought responses between maize and sorghum

This paper develops a predictive model to identify drought responses in sorghum and applies it to maize, finding conserved drought response genes across species.

The topological shape of gene expression across the evolution of flowering plants

This paper uses topological data analysis to create a topological representation of gene expression across flowering plants, revealing conserved expression patterns linked to tissues and stress responses.

{Pi}-{Pi} Interactions Stabilize PeptoMicelle-Based Formulations of Pretomanid Derivatives Leading to Promising Therapy Against Tuberculosis in Zebrafish and Mouse Models

This paper develops PeptoMicelle-based formulations of pretomanid derivatives using π-π interactions, showing improved efficacy against tuberculosis in zebrafish and mouse models.

Association Mapping Across a Multitude of Traits Collected in Diverse Environments Identifies Pleiotropic Loci in Maize.

This study identifies pleiotropic loci in maize by analyzing trait associations across diverse environments using high-density genetic markers and resampling-based genome-wide association tests.

DCIS genomic signatures define biology and clinical outcome: Human Tumor Atlas Network (HTAN) analysis of TBCRC 038 and RAHBT cohorts

The paper develops a classifier for DCIS recurrence using genomic data from two cohorts and identifies pathways and stroma-specific signatures associated with progression to invasive cancer.

Differential effects of redox conditions on the decomposition of litter and soil organic matter

This study investigates how different redox conditions affect the decomposition of litter and soil organic matter, finding that substrate source influences redox sensitivity of decomposition.

Automation of Leaf Counting in Maize and Sorghum Using Deep Learning

This paper develops and evaluates deep learning models for automated leaf counting in maize and sorghum, achieving performance close to human annotators.