Peer-reviewed Articles - Biology

10 downloads
39 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
45 downloads
211 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
75 downloads
558 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
228 downloads
1,181 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
195 downloads
1,296 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
162 downloads
908 views

Piwi-interacting RNAs (piRNAs) are the largest class of small non-coding RNAs discovered in germ cells. Identifying piRNAs from small RNA data is a challenging task due to the lack of conserved sequences and structural features of piRNAs. Many programs have been...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5429
101 downloads
506 views

The advent of next-generation sequencing has resulted in transcriptome-based approaches to investigate functionally significant biological components in a variety of non-model organism. This has resulted in the area of “venomics”: a rapidly growing field using...

["Bioinformatics","Data Mining and Machine Learning"]
doi:10.7717/peerj.5361
113 downloads
343 views

With an unprecedented growth in the biomedical literature, keeping up to date with the new developments presents an immense challenge. Publications are often studied in isolation of the established literature, with interpretation being subjective and often introducing...

["Bioinformatics","Algorithms and Analysis of Algorithms","Data Mining and Machine Learning","Software Engineering","Visual Analytics"]
doi:10.7717/peerj.5047
128 downloads
757 views

Although most of the cervical cancer cases are reported to be closely related to the Human Papillomavirus (HPV) infection, there is a need to study genes that stand up differentially in the final actualization of cervical cancers following HPV infection. In this...

["Bioinformatics","Computational Biology","Pathology","Computational Science","Data Mining and Machine Learning"]
doi:10.7717/peerj.5285
85 downloads
401 views

Introduction Sleep scoring is an important step in the treatment of sleep disorders. Manual annotation of sleep stages is time-consuming and experience-relevant and, therefore, needs to be done using machine learning techniques. Methods Sleep-EDF polysomnography...

["Bioinformatics","Neuroscience","Data Mining and Machine Learning"]
doi:10.7717/peerj.5247
84 downloads
389 views

Background and Objective Increases in outpatients seeking medical check-ups are expanding the number of health examination data records, which can be utilized for medical strategic planning and other purposes. However, because hospital visits by outpatients seeking...

["Neurology","Public Health","Data Mining and Machine Learning"]
doi:10.7717/peerj.5183
190 downloads
638 views

Objective Gastric cancer (GC) is the fourth most common cause of cancer-related deaths in the world. In the current study, we aim to identify the hub genes and uncover the molecular mechanisms of GC. Methods The expression profiles of the genes and the miRNAs were...

["Bioinformatics","Gastroenterology and Hepatology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5180
162 downloads
893 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
144 downloads
558 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
206 downloads
727 views

A robust and accurate gene expression signature is essential to assist oncologists to determine which subset of patients at similar Tumor-Lymph Node-Metastasis (TNM) stage has high recurrence risk and could benefit from adjuvant therapies. Here we applied a two-step...

["Bioinformatics","Gastroenterology and Hepatology","Oncology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4942

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