Predicting metabolic pathways of plant enzymes without using sequence 
similarity: Models from machine learning

Almeida, Rodrigo de Oliveira; Valente, Guilherme Targino

doi:10.1002/tpg2.20043

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Predicting metabolic pathways of plant enzymes without using sequence similarity: Models from machine learning

Almeida, R. d. O., & Valente, G. T. (2020). Predicting metabolic pathways of plant enzymes without using sequence similarity: Models from machine learning. PLANT GENOME, e20043. doi:10.1002/tpg2.20043.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-1A2C-C Version Permalink: https://hdl.handle.net/21.11116/0000-0007-1A2D-B

Genre: Journal Article

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Creators:
Almeida, Rodrigo de Oliveira, Author
Valente, Guilherme Targino¹, Author

Affiliations:
1Developmental Genetics, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591697

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Dates: Published Online: 2020-08-28

Publication Status: Published online

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Identifiers: ISI: 000566157500001
DOI: 10.1002/tpg2.20043

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Title: PLANT GENOME

Source Genre: Journal

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Pages: - Volume / Issue: - Sequence Number: e20043 Start / End Page: - Identifier: -