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Metabolic pathway prediction using non-negative matrix factorization with improved precision

<p>We include samples of various data types used in the work &quot;Metabolic pathway prediction using non-negative matrix factorization with improved precision&quot;</p> <p>More information about the software package and instructions are provided in&nbsp;<a href="https://github.com/hallamlab/triUMPF">hallamlab/triUMPF</a></p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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