Peng Liu

This study examines how elevated CO2 affects maize susceptibility to various pathogens, finding mixed effects with some pathogens showing increased or decreased susceptibility.

This paper introduces a two-stage likelihood ratio test to detect mid-parent heterosis genes in unreplicated RNA-seq experiments, showing improved power and false discovery rate control.

This study examines how elevated CO2 affects soybean susceptibility to various pathogens and finds mixed effects on disease outcomes and defense responses.

The paper improves signal-to-noise ratios in field trials by using spatial principal component regression to control for soil property effects on plant traits and microbiomes.

PRAM improves transcript discovery from RNA-seq data by combining datasets in a single step, outperforming two-step methods and identifying new transcripts in human and mouse data.

The paper introduces a semi-parametric Bayesian method for differential expression analysis in RNA-seq data, showing improved performance over existing methods.

The paper introduces a method to assess the significance of differences in gene expression among predefined gene groups, applying it to evaluate heat stress responses in maize.