Results 11 to 20 of about 128,369 (250)
A Random Matrix Theory Approach to Denoise Single-Cell Data [PDF]
Patterns, 2020 Summary: Single-cell technologies provide the opportunity to identify new cellular states. However, a major obstacle to the identification of biological signals is noise in single-cell data. In addition, single-cell data are very sparse. We propose a new
Luis Aparicio +3 more
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A Note on Cumulant Technique in Random Matrix Theory [PDF]
Entropy, 2023 We discuss the cumulant approach to spectral properties of large random matrices. In particular, we study in detail the joint cumulants of high traces of large unitary random matrices and prove Gaussian fluctuation for pair-counting statistics with non ...
Alexander Soshnikov, Chutong Wu
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Variability in mRNA translation: a random matrix theory approach [PDF]
Scientific Reports, 2021 The rate of mRNA translation depends on the initiation, elongation, and termination rates of ribosomes along the mRNA. These rates depend on many “local” factors like the abundance of free ribosomes and tRNA molecules in the vicinity of the mRNA molecule.
Michael Margaliot +2 more
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Dynamic Functional Connectivity Change-Point Detection With Random Matrix Theory Inference [PDF]
Frontiers in Neuroscience, 2021 To study the dynamic nature of brain activity, functional magnetic resonance imaging (fMRI) data is useful including some temporal dependencies between the corresponding neural activity estimates.
Jaehee Kim +3 more
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Superstatistics in Random Matrix Theory [PDF]
Sultan Qaboos University Journal for Science, 2012 Random matrix theory (RMT) provides a successful model for quantum systems, whose classical counterpart has chaotic dynamics. It is based on two assumptions: (1) matrix-element independence, and (2) base invariance.
A.Y. Abul-Magd
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Uncovering functional signature in neural systems via random matrix theory. [PDF]
PLoS Computational Biology, 2019 Neural systems are organized in a modular way, serving multiple functionalities. This multiplicity requires that both positive (e.g. excitatory, phase-coherent) and negative (e.g.
Assaf Almog +6 more
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Random matrix theory of the isospectral twirling [PDF]
SciPost Physics, 2021 We present a systematic construction of probes into the dynamics of isospectral ensembles of Hamiltonians by the notion of Isospectral twirling, expanding the scopes and methods of ref.[1].
Salvatore F. E. Oliviero, Lorenzo Leone, Francesco Caravelli, Alioscia Hamma
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Supersymmetric SYK model and random matrix theory
Journal of High Energy Physics, 2017 In this paper, we investigate the effect of supersymmetry on the symmetry classification of random matrix theory ensembles. We mainly consider the random matrix behaviors in the N = 1 $$ \mathcal{N}=1 $$ supersymmetric generalization of Sachdev-Ye-Kitaev
Tianlin Li +3 more
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Massive-scale gene co-expression network construction and robustness testing using random matrix theory. [PDF]
PLoS ONE, 2013 The study of gene relationships and their effect on biological function and phenotype is a focal point in systems biology. Gene co-expression networks built using microarray expression profiles are one technique for discovering and interpreting gene ...
Scott M Gibson +5 more
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Portfolio Optimization and Random Matrix Theory in Stock Exchange [PDF]
مدیریت نوآوری و راهبردهای عملیاتی, 2021 Purpose: This study aimed to optimize the stock portfolio based on stochastic matrix theory in the stock market and to answer whether the relevant information will exist using the Marčenko–Pastur distribution.Methodology: The data of 31 shares in the ...
mostafa heidari haratemeh
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