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Prof. Dr. M. Jarke
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RWTH Aachen
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Using Deep Neural Networks and Copy Number Variations for Cancer Detection

Thesis type
  • Master
Status Running
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Recently copy number variations got lot of attention due to their association with complex diseases like cancer. Finding their association with cancer is an active research eld. We propose a method to identify copy number variations which might be associated with a cancer by comparing copy numbers across 14 major cancer types. Selected CNV regions were used as features for cancer detection using deep belief networks, a deep learning technique. To our knowledge this is the rst study involving that many cancers and highest number of control samples for validation.

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