Integration of Multimodal Data from Disparate Sources for Identifying Disease Subtypes

Integration of Multimodal Data from Disparate Sources for Identifying Disease Subtypes

Studies over the past decade have generated a wealth of molecular data that can be leveraged to better understand cancer risk, progression, and outcomes. However, understanding the progression risk and differentiating long- and short-term survivors cannot be achieved by analyzing data from a single...

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Bibliographic Details
Main Authors: Kaiyue Zhou, Bhagya Shree Kottoori, Seeya Awadhut Munj, Zhewei Zhang, Sorin Draghici, Suzan Arslanturk
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Biology
Subjects:
multimodal data fusion
imputation
deep learning
cancer progression
Online Access:https://www.mdpi.com/2079-7737/11/3/360

Internet

https://www.mdpi.com/2079-7737/11/3/360

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