-
Article
Open AccessSelf-Adaptive Incremental PCA-Based DBSCAN of Acoustic Features for Anomalous Sound Detection
In modern industry, maintaining continuous machine operations is important for improving production efficiency and reducing costs. Therefore, the smart technology of acoustic monitoring to detect anomalous mac...
-
Article
Editorial: Security and Privacy in Computing and Communications
-
Article
Open AccessDeep analysis and optimization of CARD antibiotic resistance gene discovery models
Identification of antibiotic resistance genes from environmental samples has been a critical sub-domain of gene discovery which is directly connected to human health. However, it is drawing extraordinary atten...
-
Article
Open AccessDetecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization
Because drug–drug interactions (DDIs) may cause adverse drug reactions or contribute to complex-disease treatments, it is important to identify DDIs before multiple-drug medications are prescribed. As the alte...
-
Chapter and Conference Paper
An Incident Response Model for Industrial Control System Forensics Based on Historical Events
Cyber attacks on industrial control systems are increasing. Malware such as Stuxnet, Havex and BlackEnergy have demonstrated that industrial control systems are attractive targets for attackers. However, indus...
-
Article
Open AccessA unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization
During the identification of potential candidates, computational prediction of drug-target interactions (DTIs) is important to subsequent expensive validation in wet-lab. DTI screening considers four scenarios...
-
Article
Open AccessTMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs
A significant number of adverse drug reactions is caused by unexpected Drug-drug interactions (DDIs). The identification of DDIs becomes crucial before the co-prescription of multiple drugs is made. Such a tas...
-
Article
Open AccessBMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion
Human Microbiome Project reveals the significant mutualistic influence between human body and microbes living in it. Such an influence lead to an interesting phenomenon that many noninfectious diseases are clo...
-
Article
Open AccessAn Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence
Drug-drug interactions (DDIs) may trigger adverse drug reactions, which endanger the patients. DDI identification before making clinical medications is critical but bears a high cost in clinics. Computational ...
-
Article
Open AccessPredicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization
Drug-drug interactions (DDIs) always cause unexpected and even adverse drug reactions. It is important to identify DDIs before drugs are used in the market. However, preclinical identification of DDIs requires...
-
Chapter and Conference Paper
A Forensic Logging System for Siemens Programmable Logic Controllers
Critical infrastructure assets are monitored and managed by industrial control systems. In recent years, these systems have evolved to adopt common networking standards that expose them to cyber attacks. Since...
-
Chapter and Conference Paper
Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers
Industrial control systems are used to monitor and operate critical infrastructures. For decades, the security of industrial control systems was preserved by their use of proprietary hardware and software, and...
-
Chapter and Conference Paper
Privacy-Preserving Disease Risk Test Based on Bloom Filters
Decreasing costs in genome sequencing have been paving the way for personalised medicine. An increasing number of individuals choose to undergo disease risk tests provided by medical units. However, it poses s...
-
Article
Open AccessPredicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression
In human genomes, long non-coding RNAs (lncRNAs) have attracted more and more attention because their dysfunctions are involved in many diseases. However, the associations between lncRNAs and diseases (LDA) st...
-
Article
Open AccessOMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps
We present a new method, OMSV, for accurately and comprehensively identifying structural variations (SVs) from optical maps. OMSV detects both homozygous and heterozygous SVs, SVs of various types and sizes, a...
-
Article
Open AccessImproving somatic variant identification through integration of genome and exome data
Cost-effective high-throughput sequencing technologies, together with efficient map** and variant calling tools, have made it possible to identify somatic variants for cancer study. However, integrating soma...
-
Article
Open AccessPredicting combinative drug pairs towards realistic screening via integrating heterogeneous features
Drug Combination is one of the effective approaches for treating complex diseases. However, determining combinative drug pairs in clinical trials is still costly. Thus, computational approaches are used to ide...
-
Article
Open AccessFailure of phylogeny inferred from multilocus sequence ty** to represent bacterial phylogeny
Although multilocus sequence ty** (MLST) is highly discriminatory and useful for outbreak investigations and epidemiological surveillance, it has always been controversial whether clustering and phylogeny in...
-
Chapter and Conference Paper
Privacy-Preserving Elastic Net for Data Encrypted by Different Keys - With an Application on Biomarker Discovery
Elastic net is a popular linear regression tool and has many important applications, in particular, finding genomic biomarkers for cancers from gene expression profiles for personalized medicine (elastic net i...
-
Chapter and Conference Paper
Semantic Video Carving Using Perceptual Hashing and Optical Flow
Video files are frequently encountered in digital forensic investigations. However, these files are usually fragmented and are not stored consecutively on physical media. Suspects may logically delete the file...
