Entering edit mode
2.9 years ago
udi
•
0
I am currently trying to complete a Breast Cancer Classification task using Neural Networks. I have experimented with using my full dataset of gene expressions(1000+) and managed to improve my results by using only the PAM50 genes. I was wondering though what other genes I could add to the list to even better improve my results.
I have tried looking for papers about extending the PAM50, but could not find anything. I would greatly appreciate any advice.
I have asked the question here .
Cross-posted on bioinfo SE: https://bioinformatics.stackexchange.com/questions/15976/important-genes-beyond-pam50-for-breast-cancer-classification
Please don't cross-post. It can end up annoying people in both communities. If you do cross-post, please at least add links to each post showing where the other is, so people can ensure they're not investing effort to answer a question that's already been answered.