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 vid

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

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.

A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling

Nature Communications, Nature Publishing Group 2022, Vol. 13, (1)

Erdem, Cemal; Mutsuddy, Arnab; Bensman, Ethan M.; et al.

Mesowestern blot: Simultaneous analysis of hundreds of submicroliter lysates

ACS Omega, American Chemical Society (ACS) 2022, Vol. 7, (33) : 28912-28923

Zadeh, Cameron O.; Huggins, Jonah R.; Sarmah, Deepraj; et al.

Inhibition of RPS6K reveals context-dependent Akt activity in luminal breast cancer cells

PloS Computational Biology, Public Library of Science (PLoS) 2021, Vol. 17, (6)

Erdem, Cemal; Lee, Adrian V.; Taylor, D. Lansing; et al.

Visa publikationer i DiVA

Forskargrupper

Forskningsledare

Cemal Erdems labb