Conditional Gaussian graphical model for estimating personalized disease symptom networks
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in Medicine"
DOI: 10.1002/sim.9274
Abstract: The co‐occurrence of symptoms may result from the direct interactions between these symptoms and the symptoms can be treated as a system. In addition, subject‐specific risk factors (eg, genetic variants, age) can also exert external… read more here.
Keywords: conditional gaussian; gaussian graphical; symptom networks; graphical model ... See more keywords
Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2924418
Abstract: The development and prognosis of complex diseases usually involves changes in regulatory relationships among biomolecules. Understanding how the regulatory relationships change with genetic alterations can help to reveal the underlying biological mechanisms for complex diseases.… read more here.
Keywords: differential network; conditional gaussian; weighted fused; model ... See more keywords
Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3183115
Abstract: There has been a growing interest in unsupervised domain adaptation (UDA) to alleviate the data scalability issue, while the existing works usually focus on classifying independently discrete labels. However, in many tasks (e.g., medical diagnosis),… read more here.
Keywords: domain adaptation; conditional gaussian; unsupervised domain; domain ... See more keywords