October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
cell-biology
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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 17, 2017
lncRNA H19 is involved in TGF-β1-induced epithelial to mesenchymal transition in bovine epithelial cells through PI3K/AKT Signaling Pathway
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https://doi.org/10.7717/peerj.3950 PubMed 29062612
October 27, 2017
Novel mesostructured inclusions in the epidermal lining of Artemia franciscana ovisacs show optical activity
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https://doi.org/10.7717/peerj.3923 PubMed 29093995
October 13, 2017
Mysterious inhibitory cell regulator investigated and found likely to be secretogranin II related
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https://doi.org/10.7717/peerj.3833 PubMed 29043108
October 6, 2017
Anti-apoptotic properties of carbon monoxide in porcine oocyte during in vitro aging
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https://doi.org/10.7717/peerj.3876 PubMed 29018614
October 6, 2017
Effects of astragalus polysaccharide on the adhesion-related immune response of endothelial cells stimulated with CSFV in vitro
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https://doi.org/10.7717/peerj.3862 PubMed 29018607
October 9, 2017
Histamine-2 receptor antagonist famotidine modulates cardiac stem cell characteristics in hypertensive heart disease
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https://doi.org/10.7717/peerj.3882 PubMed 29038754
October 12, 2017
Mouse spermatozoa with higher fertilization rates have thinner nuclei
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https://doi.org/10.7717/peerj.3913 PubMed 29038763
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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