Related Publication

URL: https://www.jmlr.org/papers/volume12/pedregosa11a/pedregosa11a.pdf

Citation Style: APA

Citation Text:

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., ... & Duchesnay, E. (2011). Scikit-learn: Machine learning in Python. the Journal of machine Learning research, 12, 2825-2830.

Datasets (2)

Dataset	Relation
Amplicon sequence variants (ASVs) recovered from samples and their related identification as Pseudo-nitzschia taxa and the methods used	Software
Presence or absence of amplicon sequence variants (ASVs) recovered from samples which are described in DATASET 01, Pseudo-nitzschia spp. from weekly samples and offshore cruises with the Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER)	Software

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