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samples algorithm » sampling algorithm (Expand Search), kepler algorithm (Expand Search), atlas algorithm (Expand Search)
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data code » data model (Expand Search), data came (Expand Search)
samples algorithm » sampling algorithm (Expand Search), kepler algorithm (Expand Search), atlas algorithm (Expand Search)
complement cc3d » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (Expand Search)
cc3d algorithm » cscap algorithm (Expand Search), cnn algorithm (Expand Search), wold algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Dual deconvolution algorithm: analysis code with experimental data
Published 2025“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”
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data_code.zip
Published 2024“…To mitigate this issue, state-of-the-art inflation methods are commonly employed in ensemble filtering data assimilation to increase prior variances and alleviate filter divergence. …”
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Algorithm parameter settings employed in the experiments on simulated data.
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The relevant code in the manuscript can be found in the supporting information data file.
Published 2025Subjects: -
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A framework for improving localisation prediction algorithms.
Published 2024“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”
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Reflection matrix microscopy data and CLASS algorithms
Published 2025“…RMM is an advanced deep-tissue imaging technique that measures the reflected electric field of thick scattering samples while varying the illumination channels. The package contains detailed algorithm implementations, experimental and numerical data to promote the widespread adoption of RMM in various deep-tissue imaging applications (see detailed documentation for our tutorial paper: <a href="https://iopscience.iop.org/article/10.1088/2515-7647/adb7af" rel="noreferrer" target="_blank">Kang, S., Yoon, S. & Choi, W.…”
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