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"Systematic selection of chemical fingerprint features improves the Gibbs ..."

Meshari Alazmi et al. (2019)

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DOI: 10.1093/BIOINFORMATICS/BTY1035

access: open

type: Journal Article

metadata version: 2020-05-30

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  - journals/bioinformatics/AlazmiKSDG19
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  - https://dblp.org/rec/journals/bioinformatics/AlazmiKSDG19
Meshari Alazmi, Hiroyuki Kuwahara, Othman Soufan, Lizhong Ding, Xin Gao:
Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinform. 35(15): 2634-2643 (2019)

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