predicting age and gender by using geneexpression

Question

[pradip.adword]

I am trying to predict age and gender at same instance by using geneexpression (Python Programming). For age, I am using regression algorithm and for gender, I am using classification algorithm. I am trying to combine both algorithm in Neural network but not sure how to do that. If anyone have example or link for the mentioned problem. Thanks

Below are sample data: https://drive.google.com/open?id=1_TMySl3FEnxqO7k4qFrDFQzW9TsVULCL

[Kevin Blighe]

What was the AUC from your age regression model?; what was the shrunk r-squared value after cross-validation?; what was the AUC from the gender 'classification' algorithm?; Why a 'neural network' for combining these?

Last, but not least: what have you already tried / researched?

[finswimmer]

FYI: Also posted on stackexchange.

Answer 1

[WouterDeCoster]

You don't need a fancy classification system for your prediction of gender. You need some biological knowledge. I'll lazily refer to my blog where I described a method for determining the sex based on trancriptomics.

[aln]

For sex prediction I use massiR package. I had sex data on each sample, so I tested how it works - for my case it predicted everything correctly.

[WouterDeCoster]

Seems that only uses the presence or absence of Y-chromosome expression? But can it identify a patient with Klinefelter syndrome? ;-)

[aln]

I think, no ;-) But in general it worked for me, so in cases when you know your samples (e.g. healthy humans) it works nicely. I will definitely check your post.

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