Department of Computer Engineering

A genetic disease is caused by a change in the DNA sequence. These changes are called mutations. The occurrence of complex genetic diseases is often due to multiple gene mutations. Investigating which combination of mutations leads to the development of a disease is a complex problem. This is because each patient may have a different combination. And the effects of the individual mutations on the development of the disease are also different. In this talk, I will discuss the proposed studies to detect the disease using the genetic code, which is represented as a list of mutations and to identify associations between diseases and genes. The first method is the adaptation and comparison of term weighting techniques from the field of information retrieval for mutations. With this study, the effects of mutations on diseases are differentiated. The second method is a novel disease specific gene selection technique for gene expression data to improve the performance of disease prediction. The third method is the representation of DNA mutations and proteins in a novel heterogeneous graph structure for the task of disease prediction.