/siRNABERT

An explainable BERT-based deeplearning algorithm for siRNA target prediction

Primary LanguagePython

siRNABERT

An explainable BERT-based deeplearning algorithm for siRNA target prediction

Introduction

In this study, we propose an explainable BERT-based model for the siRNA target prediction. We show that our model takes advantage of the pre-training model from a large number of human genomic sequences could help us achieve the state-of-the-art performance in siRNA prediction.

Workflow

image text

Installation

git clone https://github.com/ChengkuiZhao/siRNABERT

Requirement

  • torch
  • transformers
  • numpy
  • pandas
  • matplotlib

Citation

If you use this data, tool or code, please considering citing:
Jiayu Xu, Nan Xu, Weixin Xie, Chengkui Zhao*, Lei Yu*, Weixing Feng*
BERT-siRNA: siRNA target prediction based on BERT pre-trained interpretable model
GENE, 2024, 148330, ISSN 0378-1119, https://doi.org/10.1016/j.gene.2024.148330