scholarly journals NCPCDA: network consistency projection for circRNA–disease association prediction

RSC Advances ◽  
2019 ◽  
Vol 9 (57) ◽  
pp. 33222-33228 ◽  
Author(s):  
Guanghui Li ◽  
Yingjie Yue ◽  
Cheng Liang ◽  
Qiu Xiao ◽  
Pingjian Ding ◽  
...  

A network consistency projection model for predicting novel circRNA–disease interactions.

2020 ◽  
Vol 112 ◽  
pp. 103624
Author(s):  
Guanghui Li ◽  
Jiawei Luo ◽  
Diancheng Wang ◽  
Cheng Liang ◽  
Qiu Xiao ◽  
...  

2019 ◽  
Vol 15 (6) ◽  
pp. 442-450 ◽  
Author(s):  
Guobo Xie ◽  
Zecheng Huang ◽  
Zhenguo Liu ◽  
Zhiyi Lin ◽  
Lei Ma

In recent years, an increasing number of biological experiments and clinical reports have shown that lncRNA is closely related to the development of various complex human diseases.


2014 ◽  
Vol 45 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Maya Machunsky ◽  
Thorsten Meiser

This research investigated whether relative ingroup prototypicality (i.e., the tendency to perceive one’s own ingroup as more prototypical of a superordinate category than the outgroup) can result from a prototype-based versus exemplar-based mental representation of social categories, rather than from ingroup membership per se as previously suggested by the ingroup projection model. Experiments 1 and 2 showed that a prototype-based group was perceived as more prototypical of a superordinate category than an exemplar-based group supporting the hypothesis that an intergroup context is not necessary for biased prototypicality judgments. Experiment 3 introduced an intergroup context in a minimal-group-like paradigm. The findings demonstrated that both the kind of cognitive representation and motivational processes contribute to biased prototypicality judgments in intergroup settings.


2014 ◽  
Author(s):  
Jessica Keating ◽  
Leaf Van Boven ◽  
Charles Judd

2019 ◽  
Author(s):  
Xianghai Sheng ◽  
Lee Thompson ◽  
Hrant Hratchian

This work evaluates the quality of exchange coupling constant and spin crossover gap calculations using density functional theory corrected by the Approximate Projection model. Results show that improvements using the Approximate Projection model range from modest to significant. This study demonstrates that, at least for the class of systems examined here, spin-projection generally improves the quality of density functional theory calculations of J-coupling constants and spin crossover gaps. Furthermore, it is shown that spin-projection can be important for both geometry optimization and energy evaluations. The Approximate Project model provides an affordable and practical approach for effectively correcting spin-contamination errors in molecular exchange coupling constant and spin crossover gap calculations.


Sign in / Sign up

Export Citation Format

Share Document