October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
bioinformatics 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 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 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
, , , , , , ,
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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