Fred T.G. White

This study identifies strigolactones as nitrogen-responsive rhizosphere signals in tomato that recruit beneficial bacteria under nitrogen limitation.

PESCAR improves detection of subtle response-related patterns in multi-omics data by integrating response information into multiblock decomposition.

ACMTF-R integrates multi-omics data to identify shared and distinct outcome-associated variation, outperforming existing methods in simulated and real-world datasets.

This study identifies Solanoeclepin A (SolA) as a rhizosphere signaling molecule that recruits growth-promoting microbes under nitrogen deficiency, revealing its dual role in plant-microbe interactions and nematode attraction.

MASCARA improves coexpression analysis in designed experiments by removing experimental variance to detect pathway-related coexpression patterns.

The paper proposes a combined differential abundance analysis method for sparse microbiome data with group-wise zeros, validated through simulations and applied to plant microbiome datasets.