October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
microbiology
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Machine learning to analyze colon glands

Malignant colorectal cancer

October 3, 2017

Machine learning to analyze colon glands

Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here, researchers present a deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer.

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October 4, 2017
Accuracy of microbial community diversity estimated by closed- and open-reference OTUs
https://doi.org/10.7717/peerj.3889 PubMed 29018622
October 20, 2017
Oxygen-limited metabolism in the methanotroph Methylomicrobium buryatense 5GB1C
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https://doi.org/10.7717/peerj.3945 PubMed 29062611
October 24, 2017
Statins: antimicrobial resistance breakers or makers?
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https://doi.org/10.7717/peerj.3952 PubMed 29085751
October 17, 2017
Bacterial and fungal communities respond differently to varying tillage depth in agricultural soils
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https://doi.org/10.7717/peerj.3930 PubMed 29062604
October 26, 2017
Erwinia amylovora psychrotrophic adaptations: evidence of pathogenic potential and survival at temperate and low environmental temperatures
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https://doi.org/10.7717/peerj.3931 PubMed 29085749
October 13, 2017
Sediment microbial taxonomic and functional diversity in a natural salinity gradient challenge Remane’s “species minimum” concept
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https://doi.org/10.7717/peerj.3687 PubMed 29043106
October 27, 2017
Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits
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https://doi.org/10.7717/peerj.3944 PubMed 29093998
October 16, 2017
Microbial community diversity patterns are related to physical and chemical differences among temperate lakes near Beaver Island, MI
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https://doi.org/10.7717/peerj.3937 PubMed 29062609
October 6, 2017
The isolation and identification of pathogenic fungi from Tessaratoma papillosa Drury (Hemiptera: Tessaratomidae)
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https://doi.org/10.7717/peerj.3888 PubMed 29018621
October 3, 2017
Alpha-arylphorin is a mitogen in the Heliothis virescens midgut cell secretome upon Cry1Ac intoxication
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https://doi.org/10.7717/peerj.3886 PubMed 29018619
October 5, 2017
Mechanisms of action and in vivo antibacterial efficacy assessment of five novel hybrid peptides derived from Indolicidin and Ranalexin against Streptococcus pneumoniae
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https://doi.org/10.7717/peerj.3887 PubMed 29018620
October 10, 2017
Virulence test using nematodes to prescreen Nocardia species capable of inducing neurodegeneration and behavioral disorders
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https://doi.org/10.7717/peerj.3823 PubMed 29038748
October 31, 2017
Proteomics research and related functional classification of liquid sclerotial exudates of Sclerotinia ginseng
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https://doi.org/10.7717/peerj.3979 PubMed 29104825
October 10, 2017
Extending SEQenv: a taxa-centric approach to environmental annotations of 16S rDNA sequences
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https://doi.org/10.7717/peerj.3827 PubMed 29038749
October 5, 2017
The Plasmodium berghei RC strain is highly diverged and harbors putatively novel drug resistance variants
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https://doi.org/10.7717/peerj.3766 PubMed 29018598
Machine learning to analyze colon glands

Malignant colorectal cancer

October 3, 2017

Machine learning to analyze colon glands

Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here, researchers present a deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer.

- read article

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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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