Mathilde Hartvig Diekema

miDGD predicts microRNA expression from bulk and single-cell mRNA profiles using a deep generative decoder, achieving high accuracy across diverse datasets and cell types.

PyDREAMS improves detection of low-frequency ctDNA by modeling SNV and indel errors in cfDNA sequencing data from colorectal cancer patients.

UMIseq detects circulating tumor DNA in colorectal cancer patients with high sensitivity and specificity, even at low allele frequencies.