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October 2017

Table of Contents - PeerJ (Biology Articles)

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

Robert C. Edgar

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

Ara S. Winter, Jennifer J.M. Hathaway, Jason C. Kimble, Debbie C. Buecher, Ernest W. Valdez, Andrea Porras-Alfaro, Jesse M. Young, Kaitlyn J.H. Read, Diana E. Northup

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

Ali Z. Ijaz, Thomas C. Jeffries, Umer Z. Ijaz, Kelly Hamonts, Brajesh K. Singh

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

Warangkhana Songsungthong, Supasak Kulawonganunchai, Alisa Wilantho, Sissades Tongsima, Pongpisid Koonyosying, Chairat Uthaipibull, Sumalee Kamchonwongpaisan, Philip J. Shaw

https://doi.org/10.7717/peerj.3766 PubMed 29018598

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October 2017

Table of Contents - PeerJ (Biology Articles)

Malignant colorectal cancer

Machine learning to analyze colon glands

Malignant colorectal cancer

Machine learning to analyze colon glands

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