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Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning
Article discussing research on classifying genes to the correct gene ontology slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning.
Date:
May 28, 2010
Creator:
Amthauer, Heather A. & Tsatsoulis, C. (Costas), 1962-
System:
The UNT Digital Library
Modelling HIV Intervention among Most-at-Risk/Key Population: Case Study of FWSS in Nigeria
This article discusses a novel risk equation for estimating new infections among Females who Sell Sex (FWSS), their clients, and communities.
Date:
September 28, 2017
Creator:
Akwafuo, Sampson; Shattock, Andrew & Mikler, Armin R.
System:
The UNT Digital Library
Automatic Identification of Research Articles from Crawled Documents
Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
Date:
February 28, 2014
Creator:
Caragea, Cornelia; Wu, Jian; Williams, Kyle; Das Gollapalli, Sujatha; Khabsa, Madian; Teregowda, Pradeep et al.
System:
The UNT Digital Library
Adaptive and Non Adaptive Long Term Evolution Fractional Frequency Reuse Mechanisms Mobility Performance
Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.
Date:
February 28, 2018
Creator:
Sawant, Uttara & Akl, Robert G.
System:
The UNT Digital Library
SUPREME: multiomics data integration using graph convolutional networks
Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.
Date:
June 28, 2023
Creator:
Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
System:
The UNT Digital Library