Ingrid K. Glad

The paper introduces a tailored graphical lasso method for gene network reconstruction that effectively integrates prior information, outperforming existing methods in simulated and real data.

The paper shows that the choice of metric significantly affects genomic co-occurrence analysis and proposes alternative approaches to guide this choice.

The paper introduces a method for calling ChIP-Seq peaks on graph-based reference genomes and demonstrates its ability to detect more motif-enriched peaks than MACS2.