Anders Jacobsen SKANDERUP

RESEARCH

Cancer Genomics and Systems Biology

Our group works on data-driven computational approaches to understand the molecular basis of tumors and improve the way we treat cancer patients.

More information on our lab web site.

Selected Publications

• Zhu G, CR Rahman, ..., Skanderup A, Fragle: Universal ctDNA quantification using deep learning of fragmentomic profiles, Nature Biomedical Engineering, 2025.
• Guo Y, ..., Skanderup A, Transcriptome deconvolution reveals absence of cancer cell expression signature in immune checkpoint blockade response, Cancer Research Communications, 2024.
• Revkov E, ..., Skanderup A, PUREE: accurate pan-cancer tumor purity estimation from gene expression data, Communications Biology, 2023.
• Rohatgi A, ..., Skanderup A, A pan-cancer metabolic atlas of the tumor microenvironment, Cell Reports, 2022.
• Krishnamachari K, ..., Skanderup A, Accurate somatic variant detection using weakly supervised deep learning, Nature Communications, 2022.
• Zhu G, ..., Skanderup A, Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden, Nature Communications, 2021.
• Chua KP, ..., Skanderup A*, Tan D*, Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities, Clinical Cancer Research, 2021.
• Guo Y, ..., Skanderup A, MutSpot: detection of non-coding mutation hotspots in cancer genomes, NPJ Genomic Medicine, 2020.
• Huang W, ..., Skanderup A, SMuRF: Portable and accurate ensemble-based somatic variant calling, Bioinformatics, 2019.
• Guo Y, ..., Skanderup A, Mutation hotspots at CTCF binding sites coupled to chromosomal instability in gastrointestinal cancers, Nature Communcations, 2018.