Results 211 to 220 of about 315,334 (257)

Identifying transcription factors controlling the basal expression of human MRP4 highlights a substantial role for Sp1

open access: yesFEBS Open Bio, EarlyView.
The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer   +7 more
wiley   +1 more source

Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature. [PDF]

open access: yesSci Rep
Xiao Y   +12 more
europepmc   +1 more source

Link direction for link prediction

Physica A: Statistical Mechanics and Its Applications, 2017
Abstract Almost all previous studies on link prediction have focused on using the properties of the network to predict the existence of links between pairs of nodes. Unfortunately, previous methods rarely consider the role of link direction for link prediction.
Michael Small, Keke Shang
exaly   +2 more sources

Group Link Prediction

2019 IEEE International Conference on Big Data (Big Data), 2019
Due to its universal applications in the domain of social network analysis, e-commerce, and recommendation systems, the task of link prediction has received enormous attention from the data mining and machine learning communities over the last decade.
Andrew Stanhope   +4 more
openaire   +1 more source

Virtual-Link Representation for Link Prediction

2019 IEEE International Conference on Big Data (Big Data), 2019
Link prediction predicts the likelihood of a future association between two nodes in a network. It plays an important role in mining and analyzing the evolution of networks and it is the fundament of many applications, including bioinformatics, e-commerce, security domain and co-authorship networks. The past few decades has witnessed the development of
Can Yao   +4 more
openaire   +1 more source

Predicting the Link Strength of "Newborn" Links

Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, 2016
Measurements of online social networks (OSNs) support the common fact that not all links carry the same social value, and that the strength of each link is strictly related to the frequency of interactions between the connected users. In this paper, we investigate the predictability of the interactions on OSN links by wondering if it is possible to ...
Matteo Zignani   +2 more
openaire   +1 more source

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