Adaptive Sampling Design
Adaptive Sampling Design is a sampling strategy in which the selection of subsequent observation units is sequentially determined by data-dependent rules based on information collected during the survey, thereby distinguishing it from non-adaptive designs that pre-specify all sampling decisions prior to data collection.
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7.3K
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273
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2017–2026
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Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
Samuel Martin, Darren Heavens, Yuxuan Lan et al. · Genome biology · 2022 · 236 citations · Full text
Life Sciences, Biology, Microbiology +13
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University of Auckland
Auckland, New Zealand
7 h-index
8 publications
385 citations
University of Southern California
Los Angeles, United States
4 h-index
13 publications
952 citations

University of Canterbury
Christchurch, New Zealand
4 h-index
5 publications
121 citations
Isfahan University of Technology
Isfahan, Iran
4 h-index
6 publications
169 citations
Duke University
Durham, United States
4 h-index
8 publications
278 citations

Pennsylvania State University
State College, United States
4 h-index
5 publications
223 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
5 publications
1.1K citations

Hunan University
Changsha, China
3 h-index
4 publications
210 citations
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5 publications · 169 citations
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5 publications · 164 citations
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4 publications · 274 citations
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4 publications · 251 citations
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