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Cemal Erdems labb

Forskargrupp Our lab works on integrating multi-omics datasets, machine learning, and large-scale mechanistic models to build clinically predictive computational models.

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.

Research Interests

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

Links

LinkedIn 
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Forskningsledare

Cemal Erdem
Biträdande universitetslektor
E-post
E-post

Översikt

Medverkande institutioner och enheter vid Umeå universitet

Institutionen för medicinsk biovetenskap
Senast uppdaterad: 2024-10-29