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Old 05-28-2017, 06:19 PM   #1
ssshan
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Location: Shanghai

Join Date: May 2017
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Question [Basic question] why amino acids are used in machine learning for gene prediction

Dear all,

I'm a student who is interested in machine learning with gene prediction. I noticed that most papers would pick dimers (2 amino acids) as a key feature to train positive and negative data sets during gene prediction. However, I don't know why dimers is the only or best option. Anyone could help?

Thanks in advance!
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