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Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity
Article investigating HUMIRA effects mentioned in Twitter posts using a relational similarity-based method. The authors were able to identify effects previously known as well as potentially unreported, which demonstrates the power of this method and its potential for studying effects of other medications shared by Twitter users.
Date:
June 16, 2020
Creator:
Feng, Shichao; Jiang, Keyuan; Huang, Liyuan; Chen, Tingyu & Bernard, Gordon R.
Object Type:
Article
System:
The UNT Digital Library
LASSO: A Tool for Surfing the Answer Net
This paper discusses LASSO, a tool for surfing the answer net.
Date:
November 16, 1999
Creator:
Moldovan, Dan I.; Harabagiu, Sanda M.; Paşca, Marius. 1974-; Mihalcea, Rada, 1974-; Goodrum, Richard A.; Gîrju, Corina R. et al.
Object Type:
Paper
System:
The UNT Digital Library
Real-Time Systems: An Introduction and the State-of-the-Art
This encyclopedia article gives an overview of the broad area of real-time systems. This task is daunting because real-time systems are everywhere, and yet no generally accepted definition differentiates real-time systems from non-real-time systems.
Date:
March 16, 2009
Creator:
Kavi, Krishna M.; Akl, Robert G. & Hurson, Ali
Object Type:
Book Chapter
System:
The UNT Digital Library
Apparatus and Method for Transmitting Secure and/or Copyrighted Digital Video Broadcasting Data over Internet Protocol Network
Patent relating to an apparatus and method for transmitting secure and/or copyrighted digital video broadcasting data over internet protocol network.
Date:
November 19, 2008
Creator:
Mohanty, Saraju P.
Object Type:
Patent
System:
The UNT Digital Library
BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases
Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
Date:
April 16, 2020
Creator:
Guo, Xuan; Wu, Guanying & Xu, Baohua
Object Type:
Article
System:
The UNT Digital Library