Peer-reviewed Articles - Computer sci

81 downloads
756 views

Modern scientific studies from many diverse areas of research abound with multiple hypothesis testing concerns. The false discovery rate (FDR) is one of the most commonly used approaches for measuring and controlling error rates when performing multiple tests....

["Bioinformatics","Statistics","Data Science"]
doi:10.7717/peerj.6035
46 downloads
287 views

Multimodal imaging enables sensitive measures of the architecture and integrity of the human brain, but the high-dimensional nature of advanced brain imaging features poses inherent challenges for the analyses and interpretations. Multivariate age prediction reduces...

["Neuroscience","Psychiatry and Psychology","Radiology and Medical Imaging","Data Science"]
doi:10.7717/peerj.5908
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
52 downloads
341 views

Dramatic increases in data produced by next-generation sequencing (NGS) technologies demand data compression tools for saving storage space. However, effective and efficient data compression for genome sequencing data has remained an unresolved challenge in NGS...

["Bioinformatics","Biotechnology","Computational Science","Data Science"]
doi:10.7717/peerj.5611
104 downloads
465 views

Background The use of visible-near infrared (vis-NIR) spectroscopy for rapid soil characterisation has gained a lot of interest in recent times. Soil spectra absorbance from the visible-infrared range can be calibrated using regression models to predict a set of...

["Soil Science","Statistics","Computational Science","Data Science"]
doi:10.7717/peerj.5722
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
134 downloads
1,127 views

Background High-throughput technologies are rapidly generating large amounts of diverse omics data. Although this offers a great opportunity, it also poses great challenges as data analysis becomes more complex. The purpose of this study was to identify the main...

["Bioinformatics","Genomics","Human\u2013Computer Interaction","Data Science"]
doi:10.7717/peerj.5553
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
2 citations
387 downloads
2,109 views

High-depth sequencing of universal marker genes such as the 16S rRNA gene is a common strategy to profile microbial communities. Traditionally, sequence reads are clustered into operational taxonomic units (OTUs) at a defined identity threshold to avoid sequencing...

["Ecology","Genomics","Microbiology","Mycology","Data Science"]
doi:10.7717/peerj.5364
273 downloads
878 views

Background There are many problems with fitness trackers, such as device usability, which limit their large-scale application, and relevant studies are limited in terms of their sample size and evaluation methods. The purpose of the study was to evaluate the perceived...

["Pharmacology","Public Health","Human-Computer Interaction","Computational Science","Data Science"]
doi:10.7717/peerj.5350
399 downloads
585 views

Managing injury risk requires an understanding of how and when athletes sustain certain injuries. Such information guides organisations in establishing evidence-based priorities and expectations for managing injury risk. In order to minimise the impact of sports...

["Epidemiology","Health Policy","Pathology","Public Health","Data Science"]
doi:10.7717/peerj.4895
1 citation
185 downloads
1,359 views

The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility...

["Science Policy","Computational Science","Data Science","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5072
1 citation
66 downloads
401 views

Historical GIS involves applying GIS to historical research. Using a unique method, I recovered historical tree survey information stored in bar chart figures of a 1956 publication. I converted PDF files to TIF files, which is a format for a GIS layer. I then employed...

["Biogeography","Bioinformatics","Data Science","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5158
1 citation
266 downloads
1,133 views

Background Obesity is a key public health problem. The advancement of gut microbiota research sheds new light on this field. This article aims to present the research trends in global intestinal microbiota studies within the domain of obesity research. Methods...

["Evidence Based Medicine","Gastroenterology and Hepatology","Global Health","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5091
181 downloads
648 views

Low-cost phenotyping using proximal sensors is increasingly becoming popular in plant breeding. As these techniques generate a large amount of data, analysis pipelines that do not require expertise in computer programming can benefit a broader user base. In this...

["Agricultural Science","Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5031

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