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DiNAR: revealing hidden patterns of plant signalling dynamics using Different...
Abstract Background Progress in high-throughput molecular methods accompanied by more complex experimental designs demands novel data visualisation solutions. To specifically... -
s·nr: a visual analytics framework for contextual analyses of private and pub...
Abstract Background Next-Generation Sequencing (NGS) has been widely accepted as an essential tool in molecular biology. Reduced costs and automated analysis pipelines make the... -
Bus commuting, subway commuting, and walking to workplaces in U.S. cities: So...
Most previous studies that examine the controversies involved in transit subsidies concentrate on large metropolitan areas in the U.S. The main contribution of this paper to the... -
Omalizumab in patients with severe asthma and persistent sputum eosinophilia
Abstract Omalizumab, a recombinant humanized monoclonal antibody targeting the IgE molecule, is the first biologic approved for moderate-to-severe allergic asthmatics, who... -
Effects of Text-to-Speech Software Use on the Reading Proficiency of High Sch...
Effects of Text-to-Speech Software Use on the Reading Proficiency of High School Struggling Readers -
Twenty-five years of optical coherence tomography: the paradigm shift in sens...
Optical coherence tomography (OCT) has become one of the most successful optical technologies implemented in medicine and clinical practice mostly due to the possibility of... -
Data quality and feasibility of the Experience Sampling Method across the spe...
Abstract Background Due to a number of methodological advantages and theoretical considerations, more and more studies in clinical psychology research employ the Experience... -
Using predicate and provenance information from a knowledge graph for drug ef...
Abstract Background Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge... -
Perioperative statin therapy in cardiac and non-cardiac surgery: a systematic...
Abstract Background The effects of perioperative statin therapy on clinical outcome after cardiac or non-cardiac surgery are controversial. We aimed to assess the association... -
EpiMINE, a computational program for mining epigenomic data
Abstract Background In epigenetic research, both the increasing ease of high-throughput sequencing and a greater interest in genome-wide studies have resulted in an exponential... -
A novel framework for horizontal and vertical data integration in cancer stud...
Abstract Background Recently high-throughput technologies have been massively used alongside clinical tests to study various types of cancer. Data generated in such large-scale... -
CellTag Indexing: genetic barcode-based sample multiplexing for single-cell g...
Abstract High-throughput single-cell assays increasingly require special consideration in experimental design, sample multiplexing, batch effect removal, and data... -
Analyzing the effects of the choice of model in the context of marginal chang...
Abstract Literature on the choice of model for deriving an input–output table (IOT) from a pair of supply–use tables (SUTs) has focused on the consequences for the IOT and the... -
A measure of the impact of CV incompleteness on prediction error estimation w...
Abstract Background In applications of supervised statistical learning in the biomedical field it is necessary to assess the prediction error of the respective prediction rules.... -
Changing the Antibiotic Prescribing of general practice registrars: the ChAP ...
Abstract Background Australian General Practitioners (GPs) are generous prescribers of antibiotics, prompting concerns including increasing antimicrobial resistance in the... -
On-demand virtual optical network access using 100 Gb/s Ethernet
Our Terabit LAN initiatives attempt to enhance the scalability and utilization of lambda resources. This paper describes bandwidth-on-demand virtualized 100GE access to WDM... -
Sparse generalized linear model with L 0 approximation f...
Abstract Background Feature selection and prediction are the most important tasks for big data mining. The common strategies for feature selection in big data mining are L 1,... -
Gene name errors are widespread in the scientific literature
Abstract The spreadsheet software Microsoft Excel, when used with default settings, is known to convert gene names to dates and floating-point numbers. A programmatic scan of... -
Buying and selling human eggs: infertility providers’ ethical and other conce...
Abstract Background Egg donor agencies are increasingly being used as part of IVF in the US, but are essentially unregulated, posing critical ethical and policy questions... -
GCAC: galaxy workflow system for predictive model building for virtual screening
Abstract Background Traditional drug discovery approaches are time-consuming, tedious and expensive. Identifying a potential drug-like molecule using high throughput screening...
