I am a computer science student, who was interested in taking research in the field of bioinformatics.
The first research idea I had was to make a model that could predict the possibility of type 2 diabetes by using machine learning such as convolutional neural networks or recurrent neural networks by training the model with fasta data of protein that causes diabetes.
The research will focus more on the architecture of the machine learning itself.
Does this research possible to work on ? If yes, how and where can I get the data? All my lecturers have no background in bioinformatic, so I can't ask any of them.
Edit: I m sorry, not protein but gene like CAPN10, CDKAL1, CDKN2A, HHEX, HNF4A, IGF2BP2, KCNJ11, PPARG, SLC30A8, and TCF7L2 that shown have risk to be associated in Type 2 Diabetes (http://diabetes.diabetesjournals.org/content/56/12/3033).