Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences

@article{Kim2022MultipleIN,
  title={Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences},
  author={Younghoon Kim and Tao Wang and Danyi Xiong and Xinlei Wang and Seong Ik Park},
  journal={BMC Bioinformatics},
  year={2022},
  volume={23}
}
Early detection of cancers has been much explored due to its paramount importance in biomedical fields. Among different types of data used to answer this biological question, studies based on T cell receptors (TCRs) are under recent spotlight due to the growing appreciation of the roles of the host immunity system in tumor biology. However, the one-to-many correspondence between a patient and multiple TCR sequences hinders researchers from simply adopting classical statistical/machine learning… 

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