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Background
Biomedical research increasingly relies on computational approaches to extract relevant information from large corpora of publications.
Objective
To investigate the consequence of the ambiguity between the use of terms “Eczema” and “Atopic Dermatitis” (AD) from the Information Retrieval perspective, and its impact on meta‐analyses, systematic reviews and text mining.
Methods
Articles...
This paper takes an unsupervised learning approach for monitoring edge activity within an enterprise computer network. Using NetFlow records, features are gathered across the active connections (edges) in 15-minute time windows. Then, edges are grouped into clusters using the k-means algorithm. This process is repeated over contiguous windows. A series of informative indicators are derived by examining...
We investigate where and how key dependency structure between measures of network activity change throughout the course of daily activity. Our approach to data-mining is probabilistic in nature, we formulate the identification of dependency patterns as a regularised statistical estimation problem. The resulting model can be interpreted as a set of time-varying graphs and provides a useful visual interpretation...
The behaviour of individual devices connected to an enterprise network can vary dramatically, as a device's activity depends on the user operating the device as well as on all behind the scenes operations between the device and the network. Being able to understand and predict a device's behaviour in a network can work as the foundation of an anomaly detection framework, as devices may show abnormal...
Statistical anomaly detection is emerging as an important complement to signature-based methods for enterprise network defence. In this paper, we isolate a persistent structure in two different enterprise network data sources. This structure provides the basis of a regression-based anomaly detection method. The procedure is demonstrated on a large public domain data set.
Background A barrier to the successful development of new disease treatments is the timely recruitment of participants to experimental medicine studies that are primarily designed to investigate biological mechanisms rather than evaluate clinical efficacy. The aim of this study was to analyse the performance of three recruitment sources and the effect of publicity events during the A ...
Pathway analysis can complement point‐wise single nucleotide polymorphism (SNP) analysis in exploring genomewide association study (GWAS) data to identify specific disease‐associated genes that can be candidate causal genes. We propose a straightforward methodology that can be used for conducting a gene‐based pathway analysis using summary GWAS statistics in combination with widely available reference...
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