Peer-reviewed Articles - Computer sci

49 downloads
332 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
43 downloads
197 views

Background The highly valued medicinal tiger milk mushroom (also known as Lignosus rhinocerus) has the ability to cure numerous ailments. Its anticancer activities are well explored, and recently a partially purified cytotoxic protein fraction termed F5 from the...

["Biochemistry","Genetics","Oncology","Translational Medicine","Data Mining and Machine Learning"]
doi:10.7717/peerj.4940
30 downloads
320 views

As a DNA binding transcriptional activator, Gal4 promotes the expression of genes responsible for galactose metabolism. The Gal4 protein from Saccharomyces cerevisiae (baker’s yeast) has become a model for studying eukaryotic transcriptional activation in general...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4844
1 citation
132 downloads
693 views

Several authors have shown that the sounds of anurans can be used as an indicator of climate change. Hence, the recording, storage and further processing of a huge number of anuran sounds, distributed over time and space, are required in order to obtain this indicator....

["Bioinformatics","Computational Biology","Data Mining and Machine Learning","Climate Change Biology"]
doi:10.7717/peerj.4732
119 downloads
407 views

Soil salinization is one of the most common forms of land degradation. The detection and assessment of soil salinity is critical for the prevention of environmental deterioration especially in arid and semi-arid areas. This study introduced the fractional derivative...

["Soil Science","Data Mining and Machine Learning","Natural Resource Management","Environmental Impacts","Spatial and Geographic Information Science"]
doi:10.7717/peerj.4703
1 citation
106 downloads
610 views

Malaria is a blood disease caused by the Plasmodium parasites transmitted through the bite of female Anopheles mosquito. Microscopists commonly examine thick and thin blood smears to diagnose disease and compute parasitemia. However, their accuracy depends on smear...

["Infectious Diseases","Computational Science","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.4568
130 downloads
542 views

Prolonged life expectancy in humans has been accompanied by an increase in the prevalence of cancers. Breast cancer (BC) is the leading cause of cancer-related deaths. It accounts for one-fourth of all diagnosed cancers and affects one in eight females worldwide....

["Oncology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4551
350 downloads
1,698 views

Biodiversity forecasts are important for conservation, management, and evaluating how well current models characterize natural systems. While the number of forecasts for biodiversity is increasing, there is little information available on how well these forecasts...

["Ecology","Data Mining and Machine Learning","Climate Change Biology"]
doi:10.7717/peerj.4278
123 downloads
547 views

Background With the continuous discovery of microRNA’s (miRNA) association with a wide range of biological and cellular processes, expression profile-based functional characterization of such post-transcriptional regulation is crucial for revealing its significance...

["Biochemistry","Bioinformatics","Computational Biology","Molecular Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4262
177 downloads
1,227 views

A significant portion of biomedical literature is represented in a manner that makes it difficult for consumers to find or aggregate content through a computational query. One approach to facilitate reuse of the scientific literature is to structure this information...

["Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.4201
169 downloads
807 views

Species distribution models (SDMs) have become important and essential tools in conservation and management. However, SDMs built with count data, referred to as species abundance models (SAMs), are still less commonly used to date, but increasingly receiving attention....

["Biodiversity","Biogeography","Conservation Biology","Ecology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4160
1 citation
630 downloads
3,449 views

Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that are flexible and extendable are needed...

["Agricultural Science","Bioinformatics","Computational Biology","Plant Science","Data Mining and Machine Learning"]
doi:10.7717/peerj.4088

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