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SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
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Cyclic nucleotide‐gated (CNG) and hyperpolarization‐activated cyclic nucleotide‐gated (HCN) channels share substantial sequence and structural similarity but differ markedly in ion conductance and K+ selectivity. Microsecond‐scale atomistic MD simulations qualitatively reproduced the conductance differences observed in single‐channel recordings and ...
Haoran Liu +3 more
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Spontaneous Emergence of Homochiral Suspensions from Racemic Solutions via Stochastic Nucleation. [PDF]
Deck LT, Hosseinalipour MS, Mazzotti M.
europepmc +1 more source
Statistically principled feature selection for single cell transcriptomics. [PDF]
Dollinger EP +4 more
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Implicit Solvent Models and Their Applications in Biophysics. [PDF]
Severoglu YB +5 more
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Quantitative Surface-Enhanced Raman Spectroscopy: Challenges, Strategies, and Prospects. [PDF]
Lu Z, Wang J, Yan S.
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Learned denoising with simulated and experimental low-dose CT data. [PDF]
Kiss MB +4 more
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Modeling the Dynamics of Electric Field-Assisted Local Functionalization in Two-Dimensional Materials. [PDF]
Borrás F +5 more
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Approximating the compound negative binomial distribution by the compound Poisson distribution
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Compound Poisson Distributions
Journal of the Operational Research Society, 1966(1966). Compound Poisson Distributions. Journal of the Operational Research Society: Vol. 17, No. 1, pp. 73-75.
R. Adelson
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