Entering edit mode
4.1 years ago
xie186
▴
30
This is the data I have now: 30 SSR markers for 80 cultivars of cucumber. 10 of the 80 cultivars belong to one cultivar (let's say A).
My goal is that when a person hand me a new unknown cultivar I can tell the person whether it's A or not after I genotype the new cultivar using 30 SSR markers.
I'm think of considering it as a classification problem (A vs non-A) and use machine learning method to build a model using the SSR markers as features. But the problem is that A cultivars don't have enough number of samples.
Do you have any suggestions which statistical method(s) I can try to solve this problem? Thanks in advance.
