sTPLS:

Jinyu Chen1, Wenwen Min2

  • 1School of Mathematics, Statistics and Mechanics, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China.

PubMed
概括

一种新的方法,稀疏张量基于部分最小平方 (sTPLS),集成多omics数据来发现共享和条件特定的生物学关系. 这种方法有助于理解各种生物背景中的组织发育和疾病机制.

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