Peer-reviewed Articles - Computer sci

30 downloads
198 views

Background Several technology-assisted aids are available to help blind and visually impaired people perform their daily activities. The current research uses the state-of-the-art technology to enhance the utility of traditional navigational aids to produce solutions...

["Drugs and Devices","Ophthalmology","Human\u2013Computer Interaction","Data Mining and Machine Learning"]
doi:10.7717/peerj.6058
75 downloads
293 views

Background Bladder cancer is a malignant tumor in the urinary system with high mortality and recurrence rates. However, the causes and recurrence mechanism of bladder cancer are not fully understood. In this study, we used integrated bioinformatics to screen for...

["Bioinformatics","Oncology","Data Mining and Machine Learning"]
doi:10.7717/peerj.6036
43 downloads
278 views

Motivation The identification of functional sequence variations in regulatory DNA regions is one of the major challenges of modern genetics. Here, we report results of a combined multifactor analysis of properties characterizing functional sequence variants located...

["Bioinformatics","Genomics","Data Mining and Machine Learning"]
doi:10.7717/peerj.5742
45 downloads
269 views

We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ70 factor of RNA polymerase. σ70 promoters are ubiquitously used in recombinant DNA technology, but characterizing their strength...

["Bioinformatics","Computational Biology","Genomics","Synthetic Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5862
68 downloads
286 views

Background The accurate and rapid preliminarily identification of the types of methicillin-resistant Staphylococcus aureus (MRSA) is crucial for infection control. Currently, however, expensive, time-consuming, and labor-intensive methods are used for MRSA typing....

["Microbiology","Infectious Diseases","Data Mining and Machine Learning"]
doi:10.7717/peerj.5784
80 downloads
485 views

Colorectal cancer (CRC) has a high incident rate in both men and women and is affecting millions of people every year. Genome-wide association studies (GWAS) on CRC have successfully revealed common single-nucleotide polymorphisms (SNPs) associated with CRC risk....

["Bioinformatics","Computational Biology","Genetics","Epidemiology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5854
118 downloads
490 views

Background Accurate time-energy budgets summarise an animal’s energy expenditure in a given environment, and are potentially a sensitive indicator of how an animal responds to changing resources. Deriving accurate time-energy budgets requires an estimate of time...

["Animal Behavior","Ecology","Marine Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5814
110 downloads
511 views

Background Functional groups serve two important functions in ecology: they allow for simplification of ecosystem models and can aid in understanding diversity. Despite their important applications, there has not been a universally accepted method of how to define...

["Ecology","Marine Biology","Statistics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5795
78 downloads
793 views

Background The proportion of overweight and obese people has increased tremendously in a short period, culminating in a worldwide trend of obesity that is reaching epidemic proportions. Overweight and obesity are serious issues, especially with regard to children....

["Public Health","Computational Science","Data Mining and Machine Learning"]
doi:10.7717/peerj.5764
65 downloads
590 views

Background Biogeographers assess how species distributions and abundances affect the structure, function, and composition of ecosystems. Yet we face a major challenge: it is difficult to precisely map species across landscapes. Novel Earth observations could overcome...

["Biogeography","Ecology","Data Mining and Machine Learning","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5666
50 downloads
243 views

Background The institutional affiliations and associated collaborative networks that scientists foster during their research careers are salient in the production of high-quality science. The phenomenon of multiple institutional affiliations and its relationship...

["Science and Medical Education","Science Policy","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5664
77 downloads
391 views

Background The leading cause of surface water impairment in United States’ rivers and streams is pathogen contamination. Although use of fecal indicators has reduced human health risk, current approaches to identify and reduce exposure can be improved. One important...

["Microbiology","Public Health","Computational Science","Data Mining and Machine Learning","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5610
132 downloads
691 views

Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments. Because these experiments are computation- and data-intensive, they require high-performance computing techniques...

["Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5551
457 downloads
2,128 views

Random forest and similar Machine Learning techniques are already used to generate spatial predictions, but spatial location of points (geography) is often ignored in the modeling process. Spatial auto-correlation, especially if still existent in the cross-validation...

["Biogeography","Soil Science","Computational Science","Data Mining and Machine Learning","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5518
398 downloads
2,088 views

Potential natural vegetation (PNV) is the vegetation cover in equilibrium with climate, that would exist at a given location if not impacted by human activities. PNV is useful for raising public awareness about land degradation and for estimating land potential....

["Biogeography","Computational Biology","Plant Science","Data Mining and Machine Learning","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5457

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