AIMC Topic: Proteobacteria

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Metabolic pathway inference using multi-label classification with rich pathway features.

PLoS computational biology Oct 1, 2020
Metabolic inference from genomic sequence information is a necessary step in determining the capacity of cells to make a living in the world at different levels of biological organization. A common method for determining the metabolic potential encod...
Machine Learning Software Algorithms Genomics Logistic Models Databases, Genetic Metabolic Networks and Pathways Proteobacteria
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Bacterial classification with convolutional neural networks based on different data reduction layers.

Nucleosides, nucleotides & nucleic acids Aug 16, 2019
For high accuracy classification of DNA sequences through Convolutional Neural Networks (CNNs), it is essential to use an efficient sequence representation that can accelerate similarity comparison between DNA sequences. In addition, CNN networks can...
Neural Networks, Computer DNA, Bacterial Actinobacteria Base Sequence Firmicutes Proteobacteria
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