Solution to your project based on my expertise:
- Analyze multi-omic data (CNV, Methylation, somatic mutation, gene expression).
- Develop a deep neural network model for biomarker identification.
- Integrate XAI techniques to provide model interpretability and insights.
Hi, Junaid here, Machine Learning Engineer, I can help you with this project.
From your requirements, I've got the idea that you are looking for a deep learning approach to identify potential biomarkers for early cancer diagnosis using multi-omic data.
I have a few questions to get more clarity:
- Do you have any specific dataset or a preferred source for the multi-omic data?
- Are there particular biomarkers or cancer types you want to focus on initially?
- What level of interpretability or explainability do you require from the model?
Let's have a quick chat or call, to discuss things in detail.