Accuracy values of various optimization algorithms for rbpTransformer model.

Accuracy values of various optimization algorithms for rbpTransformer model.

<p>For choosing the optimizer, 1 core is used, maximum k-mer size is taken as 3.</p>

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Bibliographic Details
Main Author:	Ahmet Gürhanlı (21602042) (author)
Published:	2025
Subjects:	Microbiology Genetics Molecular Biology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified model &# 8217 genomic stability may effective transformer model briefly introduces transformers accurate binding predictions important design alternatives mrna binding prediction important issue design affects xlink "> use self results show proper adjustment paper summarizes optimization algorithm mrna sequences models available mer size learning models including k good candidate evaluated thoroughly drug discovery core modules auc value 38 %.
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