A Machine Learning-Based Investigation of Integrin Expression Patterns in Cancer and Metastasis
Hossain Shadman,
Saghar Gomrok,
Qianyi Cheng
et al.
Abstract:Background Integrins, a family of transmembrane receptor proteins, play complex roles in cancer development and metastasis. These roles could be better delineated through machine learning of transcriptomic data to reveal relationships between integrin expression patterns and cancer. Methods We collected publicly available RNA-Seq integrin expression from 8 healthy tissues and their corresponding tumors, along with data from metastatic breast cancer. We then used machine learning methods, including t-SNE visual… Show more
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