Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data

Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh, Mingyuan Zhou, Xiaoning Qian

Neural Information Processing Systems 

InMTL, there areDdifferent labeled domains where data are related and the goal is to improve the predictive power of all domains altogether.

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