Saskia Haupt

发表

A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis

M. Kloor, M. von Knebel Doeberitz, V. Heuveline, 2020, bioRxiv.

The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution

M. Kloor, M. von Knebel Doeberitz, A. Riemer, 2020, Nature Communications.

The shared neoantigen landscape of MSI cancers reflects immunoediting during tumor evolution

M. Kloor, M. von Knebel Doeberitz, A. Riemer, 2019, bioRxiv.

Colorectal cancer incidences in Lynch syndrome: a comparison of results from the prospective lynch syndrome database and the international mismatch repair consortium

Aung Ko Win, M. Kloor, B. Bonanni, 2022, Hereditary Cancer in Clinical Practice.

Mathematical Clustering Based on Cross- Sections in Medicine: Application to the Pan- creatic Neck

V. Heuveline, A. Mehrabi, L. Grenacher, 2020 .

Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure.

M. Kloor, M. von Knebel Doeberitz, Alexander Zeilmann, 2021, PLoS computational biology.

Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure

Vincent Heuveline, Alexander Zeilmann, Saskia Haupt, 2020, bioRxiv.

A simple approach for detecting HLA‐A*02 alleles in archival formalin‐fixed paraffin‐embedded tissue samples and an application example for studying cancer immunoediting

M. Kloor, M. von Knebel Doeberitz, J. Nattermann, 2022, HLA.

Is HLA type a possible cancer risk modifier in Lynch syndrome?

M. Kloor, M. von Knebel Doeberitz, P. Møller, 2022, International journal of cancer.

Age‐dependent performance of BRAF mutation testing in Lynch syndrome diagnostics

M. Kloor, M. von Knebel Doeberitz, H. Brenner, 2020, International journal of cancer.

BRAFmutation testing of MSI CRCs in Lynch syndrome diagnostics: performance and efficiency according to patient’s age

M. Kloor, M. von Knebel Doeberitz, H. Brenner, 2019 .

Machine Learning Methods Improve Specificity in Newborn Screening for Isovaleric Aciduria

S. Kölker, S. Garbade, P. Feyh, 2023, Metabolites.

Mortality by age, gene and gender in carriers of pathogenic mismatch repair gene variants receiving surveillance for early cancer diagnosis and treatment: a report from the prospective Lynch syndrome database

Aung Ko Win, M. von Knebel Doeberitz, B. Bonanni, 2023, EClinicalMedicine.

HiFlow3 – Technical Report on Release 2.0

Nicolai Schoch, Vincent Heuveline, Mareike Schmidtobreick, 2017 .

Opportunities and challenges in machine learning‐based newborn screening—A systematic literature review

S. Kölker, S. Garbade, Saskia Haupt, 2022, JIMD reports.

Supporting Information S1 Appendix Mathematical Background Mathematical Modeling of Multiple Pathways in Colorectal Carcinogenesis using Dynamical Systems with Kronecker Structure

M. Kloor, Alexander Zeilmann, V. Heuveline, 2021 .

Dominantly inherited micro-satellite instable cancer – the four Lynch syndromes - an EHTG, PLSD position statement

B. Bonanni, E. Hovig, S. Nakken, 2023, Hereditary Cancer in Clinical Practice.

A "two-in-one hit" model of shortcut carcinogenesis in MLH1 Lynch syndrome carriers.

M. Kloor, M. von Knebel Doeberitz, G. Kristiansen, 2023, Gastroenterology.

Deep Learning and Explainable Artificial Intelligence for Improving Specificity and Detecting Metabolic Patterns in Newborn Screening

Saskia Haupt, U. Mütze, Elaine Zaunseder, 2023, 2023 IEEE Symposium Series on Computational Intelligence (SSCI).