Dimitrios Kleftogiannis

This study examines immune remodeling after aHSCT in RRMS patients, finding lineage-specific changes in T and B cells rather than full immune restoration.

This paper introduces a bioinformatics framework for automated cell type annotation and patient stratification using CyTOF data, showing improved sensitivity and specificity and predictive survival analysis in leukemia.

LOCATOR is a computational tool for analyzing cancer tissue microenvironments using mass cytometry imaging data, showing spatial organization links to clinical outcomes in breast cancer.

This paper develops a targeted cfDNA sequencing approach for detecting genomic alterations in breast cancer using UMIs and bioinformatics pipelines, showing high concordance with tumor sequencing.

AmpliSolve improves SNV detection in deep sequencing data by estimating position-specific background noise, achieving good precision and sensitivity even at low VAFs.

The paper introduces TELS, a computational method to identify cell type/tissue specific motif signatures of transcribed enhancers, and compiles a catalog of these signatures across 112 human primary cells and tissues.

This paper develops an error-corrected cfDNA sequencing method for highly sensitive mutation detection and genome-wide copy number reconstruction in metastatic colorectal cancer.