Linear filtering reveals false negatives in species interaction data

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Linear filtering reveals false negatives in species interaction data

Species interaction datasets, often represented as sparse matrices, are usually collected through observation studies targeted at identifying species interactions. Due to the extensive required sampling effort, species interaction datasets usually contain many false negatives, often leading to bias in derived descriptors. We show that a simple linear filter can be used to detect false negatives...

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ژورنال

عنوان ژورنال: Scientific Reports

سال: 2017

ISSN: 2045-2322

DOI: 10.1038/srep45908