Cemal Erdem

SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) Fellow

Multi-omics data integration, machine learning, and large-scale mechanistic modelling

Kontakt

Verksam som

Biträdande universitetslektor vid Institutionen för medicinsk biovetenskap

By 6M, Sjukhusområdet Umeå universitet, 901 85 Umeå

The overall theme of the Erdem Lab is to merge machine learning and mechanistic models with patient data to create clinically predictive computational models for cancer and other diseases.

Research Interests

Mathematical modeling of signaling cascades
Systems biology
Quantitative Systems Pharmacology (QSP)
Precision medicine

Links

Liquid biomarkers associate with TGF-β Type I receptor and hypoxia in kidney cancer

Signal Transduction and Targeted Therapy, Springer Nature 2025, Vol. 10, (1)

Mallikarjuna, Pramod; Erdem, Cemal; Ilundain Beorlegui, Ruben; et al.

Mechanistic modeling of cell viability assays with in silico lineage tracing

PloS Computational Biology, Public Library of Science (PLoS) 2025, Vol. 21, (8)

Mutsuddy, Arnab; Huggins, Jonah R.; Amrit, Aurore K.; et al.

Mechanistic modeling of cell viability assays with in silico lineage tracing

Mutsuddy, Arnab; Huggins, Jonah R.; Amrit, Aurore; et al.

Computational speed-up of large-scale, single-cell model simulations via a fully integrated SBML-based format

Bioinformatics Advances, Oxford University Press 2023, Vol. 3, (1)

Mutsuddy, Arnab; Erdem, Cemal; Huggins, Jonah R; et al.

MEMMAL: A tool for expanding large-scale mechanistic models with machine learned associations and big datasets

Frontiers in Systems Biology, Frontiers Media S.A. 2023, Vol. 3

Erdem, Cemal; Birtwistle, Marc R.

MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms

Nature Communications, Springer Nature 2023, Vol. 14, (1)

Erdem, Cemal; Gross, Sean M.; Heiser, Laura M.; et al.

A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses

Communications Biology, Springer Nature 2022, Vol. 5, (1)

Gross, Sean M.; Dane, Mark A.; Smith, Rebecca L.; et al.

Visa publikationer i DiVA

Forskargrupper

Forskningsledare

Cemal Erdems labb