„Deconvolution“
Suchergebnisse
1.056 Treffer
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Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation
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Selection of Euler deconvolution solutions using the enhanced horizontal gradient and stable vertical differentiation
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Robust EOG-based saccade recognition using multi-channel blind source deconvolution
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CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes
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A Statistical Mechanical Deconvolution of the Differential Scanning Calorimetric Profiles of the Thermal Denaturation of Cyanomethemoglobin
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Heterogeneous pseudobulk simulation enables realistic benchmarking of cell-type deconvolution methods
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The Basic Iterative Deconvolution: A Fast Instrumental Point-Spread Function Deconvolution Method That Corrects for Light That Is Scattered Out of the Field of View of a Detector
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An automatic peak deconvolution code for Raman spectra of carbonaceous material and a revised geothermometer for intermediate- to moderately high-grade metamorphism
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Die Minimum Entropie Deconvolution sowie die Adaptive-Least-Square-Deconvolution und ihre Anwendung auf seismische Spuren
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A Multisensor Deconvolution Problem
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Optical deconvolution - Methode und Anwendung in der Biomedizin
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NNICE: a deep quantile neural network algorithm for expression deconvolution
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Deconvolution von Isotopennephrogrammen transplantierter Nieren
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Preconditioners Based on Fit Techniques for the Iterative Regularization in the Image Deconvolution Problem
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Neural networks for kinetic parameters determination, signal filtering and deconvolution in thermal analysis
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An improved method for the determination of the input applied to a linear system by deconvolution of the output. Application in thermokinetics
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Flow analysis deconvolution for kinetic information reconstruction
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Eine physikalisch orientierte Deconvolutionsvariante zur Bearbeitung seismischer Registrierungen
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Multidimensional system identification through blind deconvolution
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Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences