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Nonlinear Mixed effects models are hidden variables models that are widely used in many fields such as pharmacometrics. In such models, the distribution characteristics of hidden variables can be specified by including several parameters…

Methodology · Statistics 2021-10-19 Edouard Ollier

The detection of similarities between long DNA and protein sequences is studied using concepts of statistical physics. It is shown that mutual similarities can be detected by sequence alignment methods only if their amount exceeds a…

Condensed Matter · Physics 2009-10-28 Terence Hwa , Michael Lassig

The specificity of molecular recognition is important to molecular self-organization. A prominent example is the biological cell where, within a highly crowded molecular environment, a myriad of different molecular receptor pairs recognize…

Chemical Physics · Physics 2020-09-07 Marc Schenkelberger , Christian Trapp , Timo Mai , Albrecht Ott

The thermodynamical stability of DNA minicircles is investigated by means of path integral techniques. Hydrogen bonds between base pairs on complementary strands can be broken by thermal fluctuations and temporary fluctuational openings…

Soft Condensed Matter · Physics 2015-03-30 Marco Zoli

An analysis of the stability of a duplex containing G.A mispairs or G.A/A.G tandem during DNA melting has revealed that duplex stability depends on both DNA sequences and on the conformations of the G.A mispairs. The thermodynamics of…

Biological Physics · Physics 2010-08-13 Julia Berashevich , Tapash Chakraborty

DNA microarray experiments, a well-established experimental technique, aim at understanding the function of genes in some biological processes. One of the most common experiments in functional genomics research is to compare two groups of…

Methodology · Statistics 2007-08-22 Javier Cabrera , Ching-Ray Yu

DNA-based storage offers unprecedented density and durability, but its scalability is fundamentally limited by the efficiency of parallel strand synthesis. Existing methods either allow unconstrained nucleotide additions to individual…

Information Theory · Computer Science 2025-10-27 Boaz Moav , Ryan Gabrys , Eitan Yaakobi

The effect of secondary structure on DNA duplex formation is poorly understood. We use a coarse-grained model of DNA to show that specific 3- and 4-base pair hairpins reduce hybridization rates by factors of 2 and 10 respectively, in good…

Soft Condensed Matter · Physics 2015-12-15 John S. Schreck , Thomas E. Ouldridge , Flavio Romano , Petr Sulc , Liam Shaw , Ard A. Louis , Jonathan P. K. Doye

For the vast majority of genes in sequenced genomes, there is limited understanding of how they are regulated. Without such knowledge, it is not possible to perform a quantitative theory-experiment dialogue on how such genes give rise to…

Genomics · Quantitative Biology 2024-06-07 Rosalind Wenshan Pan , Tom Roeschinger , Kian Faizi , Hernan Garcia , Rob Phillips

We study the parameter sensitivity of hetero-polymeric DNA within the purview of DNA breathing dynamics. The degree of correlation between the mean bubble size and the model parameters are estimated for this purpose for three different DNA…

Biomolecules · Quantitative Biology 2014-03-27 Srijeeta Talukder , Shrabani Sen , Prantik Chakraborti , Ralf Metzler , Suman K Banik , Pinaki Chaudhury

RNA function crucially depends on its structure. Thermodynamic models currently used for secondary structure prediction rely on computing the partition function of folding ensembles, and can thus estimate minimum free-energy structures and…

Biomolecules · Quantitative Biology 2022-07-26 Nicola Calonaci , Alisha Jones , Francesca Cuturello , Michael Sattler , Giovanni Bussi

Peaks in the probabilities of loops or bubbles, helical segments, and unzipping ends in melting DNA are found in this article using a peak finding method that maps the hierarchical structure of certain energy landscapes. The peaks indicate…

Biomolecules · Quantitative Biology 2007-05-23 E. Tostesen

Appropriately evaluating the discrepancy between domains is essential for the success of unsupervised domain adaptation. In this paper, we first point out that existing discrepancy measures are less informative when complex models such as…

Machine Learning · Statistics 2019-10-23 Jongyeong Lee , Nontawat Charoenphakdee , Seiichi Kuroki , Masashi Sugiyama

DNA-coated particles are promising as building blocks for functional and finite-sized assemblies because they can be programmed with orthogonal interactions owing to the sequence-specific hybridization of DNA strands. To fully exploit this…

Soft Condensed Matter · Physics 2026-04-17 T. C. M. Stevens , A. van der Sluis , I. K. Voets , P. G. Moerman

Micro-pattern gas detectors (MPGDs) are widely utilized in physics experiments owing to their excellent spatial resolution and high-rate capabilities. Within the PandaX-III experiment, which aims to investigate neutrinoless double beta…

Instrumentation and Detectors · Physics 2025-12-09 Yunzhi Peng , Yuanchun Liu , Zhiyong Zhang , Shaobo Wang , Jianbei Liu , Ming Shao , Yi Zhou

In various data settings, it is necessary to compare observations from disparate data sources. We assume the data is in the dissimilarity representation and investigate a joint embedding method that results in a commensurate representation…

Methodology · Statistics 2016-01-05 Sancar Adali , Carey E. Priebe

A means to take advantage of molecular similarity to lower the computational cost of electronic structure theory is proposed, in which parameters are embedded into a low-cost, low-level (LL) ab initio theory and adjusted to obtain agreement…

Chemical Physics · Physics 2013-11-15 Matteus Tanha , Shiva Kaul , Alex Cappiello , Geoffrey J. Gordon , David J. Yaron

We have developed a three-dimensional radiative transfer method designed specifically for use with parallel adaptive mesh refinement hydrodynamics codes. This new algorithm, which we call hybrid characteristics, introduces a novel form of…

Astrophysics · Physics 2009-11-11 Erik-Jan Rijkhorst , Tomasz Plewa , Anshu Dubey , Garrelt Mellema

The information-encoding molecules RNA and DNA form a combinatorially large set of secondary structures through nucleic acid base pairing. Thermodynamic prediction algorithms predict favoured, or minimum free energy (MFE), secondary…

Data Structures and Algorithms · Computer Science 2024-07-16 Ahmed Shalaby , Damien Woods

Wildfires are a highly prevalent multi-causal environmental phenomenon. The impact of this phenomenon includes human losses, environmental damage and high economic costs. To mitigate these effects, several computer simulation systems have…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-26 Jan Strappa , Paola Caymes-Scutari , Germán Bianchini