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Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
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Early detection of chronic kidney disease based on a SURD-enhanced machine learning model. [PDF]
Xue N, Bai T, Jia X, Wei X.
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Neurodatascience: Past, Present, and Future. [PDF]
Cooper KW, Shahbaba B, Fortin NJ.
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Advanced receiver design for AF-FD cooperative schemes. [PDF]
Al-Hattab M, Mostafa H, Marey M.
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Fault Tree Reliability Analysis via Squarefree Polynomials: Mathematical and Experimental Analysis. [PDF]
Lopuhaä-Zwakenberg M.
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Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning. [PDF]
Karakoç Ö, Memiş S, Sennaroglu B.
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GARN3: A coarse-grained helix centered technique for RNA 3D structures prediction. [PDF]
Silva J, Cohen J, Cordeiro D.
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A fast algorithm for computing a complex-number theoretic transform for long sequences
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981This correspondence describes an algorithm for computing a complex-number theoretic transform of long sequences. Such a transform technique can be used to compute the convolution of two sequences of complex numbers. Emphasis is given to a transform of length 9.8.31 = 2232.
Reed, I. S. +3 more
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