I am a high school junior working on a research project, I had a couple of doubts and had a trouble in getting it resolved. I hope the community could help me! Till now, I have worked on Machine Learning project in which I could train the model given gene expression values as input and a label as output. Recently, I wanted to try out training a model for detecting Mesothelioma and a few others to begin with. I saw there microRNA-seq option in filter. Could you please tell me how is microRNA-seq different from microRNA? And how can a machine learning model be applied to microRNA-seq data?
How to read the TCGA data for machine learning? I am unable to understand the data format. I suppose each file contains sample data, but then I am unable to figure out the label, i.e. whether this sample belongs to a cancerous tissue or healthy tissue.
I am sorry if my questions are too vague, but I hope you could resolve my doubts! Thanks in advance.
Thumbs up for your project. Which classifier are you using?
Hello sir, I am unable to figure out how to analyse micro-RNA data, thence I am very unsure about how to train the data. Infact, I am not very clear about microRNA-seq data. I would have no problems working with expression data but unable to figure out how to use miRNA-seq data. kindly help me!
First of all, what machine learning? WEKA or...? Second, for training you need to have data for "if it's like this, this happens". What exactly are you trying to program? If a miRNA is present/absent during a sickness or the likeliness or getting one?