Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis

Author(s):  
Narges Manouchehri ◽  
Nizar Bouguila
2000 ◽  
Vol 33 (3) ◽  
pp. 511-514 ◽  
Author(s):  
G. Avtandilov ◽  
A. Dembo ◽  
O. Komardin ◽  
P. Lazarev ◽  
M. Paukshto ◽  
...  

2014 ◽  
Vol 10 (6) ◽  
pp. 2354-2366 ◽  
Author(s):  
Jiri Gallo ◽  
Jana Vaculova ◽  
Stuart B. Goodman ◽  
Yrjö T. Konttinen ◽  
Jacob P. Thyssen

2014 ◽  
Vol 191 (4S) ◽  
Author(s):  
Chiuan-Ren Yeh ◽  
Iawen Hsu ◽  
Spencer Slavin ◽  
Chawnshang Chang ◽  
Edward M. Messing ◽  
...  

Biology ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 59 ◽  
Author(s):  
Magali Humbert ◽  
María Morán ◽  
Patricia de la Cruz-Ojeda ◽  
Jordi Muntané ◽  
Tabea Wiedmer ◽  
...  

Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples.


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