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Rony Chowdhury Ripan on Muck Rack

Rony Chowdhury Ripan

As seen in: Nature
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misoTar: a novel approach for predicting miRNA and isomiR targets

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By Xiaoman Li, Haiyan Hu, Rony Chowdhury Ripan
| Nature Verified
Abstract Understanding microRNA/isomiR–mRNA interactions has long been a major challenge. Although many computational methods exist for predicting miRNA–mRNA interactions, almost all fail to account for isomiR–mRNA interactions. To bridge this gap, we developed misoTar, a fine-tuned BERT-based deep learning model trained on over 6.660 million positive and negative microRNA/isomiR–mRNA interaction pairs from 67 publicly available human samples across six studies.
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