Browsing by Subject "Clustering"
Now showing items 1-5 of 5
-
Alignment-free clustering of transcription factor binding motifs using a genetic-k-medoids approach
(BioMed Central, 2015-01-28)Background: Familial binding profiles (FBPs) represent the average binding specificity for a group of structurally related DNA-binding proteins. The construction of such profiles allows the classification of novel motifs ... -
Applying informal health reports and search queries for public health monitoring: An evaluation of characteristics, potentials, and requirements of online self-reporting, discussions, and search behaviour
(NUI Galway, 2021-01-13)The introduction of digital data sources has positively impacted public health surveillance and has paved the way for novel approaches. Internet-based sources provide large volumes of data which can be analysed in near ... -
Contextualising sensors with linked data to improve relevancy, data quality and network adaptability
(2015-10-09)A sensor taken by itself, with no indication of what it is sensing, with what unit of measurement and where, would keep working without anybody being able to interpret its output. The sensor needs to be "contextualised". ... -
Shiga toxigenic Escherichia coli incidence is related to small area variation in cattle density in a region in Ireland
(Elsevier, 2018-05-12)Shiga toxigenic Escherichia coli (STEC) are pathogenic E. coli that cause infectious diarrhoea. In some cases infection may be complicated by renal failure and death. The incidence of human infection with STEC in Ireland ... -
Using Tags and Clustering to Identify Topic-Relevant Blogs
(IAAA, 2007)The Web has experienced an exponential growth in the use of weblogs or blogs. Blog entries are generally organised using tags, informally defined labels which are increasingly being proposed as a `grassroots¿ answer to ...