September 2017

Table of Contents - PeerJ (Biology Articles)

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computational-biology
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Automated classification of tropical shrub species

Leaf samples

September 12, 2017

Automated classification of tropical shrub species

Researchers have developed a hybrid ‘leaf shape’ and machine learning approach to build an automated identification system for tropical shrubs.

- read article

September 12, 2017
Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach
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https://doi.org/10.7717/peerj.3792 PubMed 28924506
September 21, 2017
The evolutionary history of Stomatopoda (Crustacea: Malacostraca) inferred from molecular data
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https://doi.org/10.7717/peerj.3844 PubMed 28948111
September 28, 2017
Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models
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https://doi.org/10.7717/peerj.3877 PubMed 28970973
September 28, 2017
Predicting stimulation-dependent enhancer-promoter interactions from ChIP-Seq time course data
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https://doi.org/10.7717/peerj.3742 PubMed 28970965
September 7, 2017
MetaCRAST: reference-guided extraction of CRISPR spacers from unassembled metagenomes
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https://doi.org/10.7717/peerj.3788 PubMed 28894651
September 19, 2017
Analysis of drug binding pockets and repurposing opportunities for twelve essential enzymes of ESKAPE pathogens
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https://doi.org/10.7717/peerj.3765 PubMed 28948099
September 4, 2017
Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine
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https://doi.org/10.7717/peerj.3561 PubMed 28890846
September 1, 2017
A modeling approach to evaluate the balance between bioactivation and detoxification of MeIQx in human hepatocytes
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https://doi.org/10.7717/peerj.3703 PubMed 28879062
September 15, 2017
Association of rs1801157 single nucleotide polymorphism of CXCL12 gene in breast cancer in Pakistan and in-silico expression analysis of CXCL12–CXCR4 associated biological regulatory network
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https://doi.org/10.7717/peerj.3822 PubMed 28929029
Automated classification of tropical shrub species

Leaf samples

September 12, 2017

Automated classification of tropical shrub species

Researchers have developed a hybrid ‘leaf shape’ and machine learning approach to build an automated identification system for tropical shrubs.

- read article

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