The findings have broadened the knowledge of the molecular regulatory network of breast cancer cell stemness and may be significant for scholars who are experts in cancer biology. 10.7554/eLife.82669.sa1 Decision letter Liu Caigang Reviewing Editor https://ror.org/00v408z34 Shengjing Hospital of China Medical University China In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.
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Machine learning-assisted elucidation of CD81-CD44 interactions in promoting cancer stemness and extracellular vesicle integrity.
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