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identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
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codon optimization » wolf optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data codon » data code (Expand Search), data codes (Expand Search), data codings (Expand Search)
data wide » data were (Expand Search)
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
wide identification » _ identification (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data codon » data code (Expand Search), data codes (Expand Search), data codings (Expand Search)
data wide » data were (Expand Search)
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Statistics in Proteomics: A Meta-analysis of 100 Proteomics Papers Published in 2019
Published 2020“…This included questions such as whether a pilot study was conducted and whether false discovery rate calculation was employed at either the quantitation or identification stage. These data were then transformed to binary inputs, analyzed via machine learning algorithms, and classified accordingly, with the aim of determining if clusters of data existed for specific journals or if certain statistical measures correlated with each other. …”
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2
Supplementary materials for PhD thesis 'Characterisation Of The Blazhko Effect In RR Lyrae Stars Using SuperWASP Data'
Published 2025“…This phase domain analysis also led to the identification of 17 candidates for rare binary objects, due to their sinusoidal O-C curves. 73 objects had quadratic O-C curves, suggesting binary candidates with periods longer than the duration of SuperWASP observations.…”
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Supplementary Material 8
Published 2025“…</li><li><b>Adaboost: </b>A boosting algorithm that combines weak classifiers iteratively, refining predictions and improving the identification of antimicrobial resistance patterns.…”