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Related papers: Homogeneity tests for Michaelis-Menten curves with…

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Conformational dynamics of biomolecules are of fundamental importance for their function. Single-molecule F\"orster Resonance Energy Transfer (smFRET) is a powerful approach to inform on the structure and the dynamics of labeled molecules.…

The homogeneity problem for testing if more than two different samples come from the same population is considered for the case of functional data. The methodological results are motivated by the study of homogeneity of electronic devices…

Single-molecule F\"orster Resonance Energy Transfer (smFRET) is ideally suited to resolve the dynamics of biomolecules. A significant challenge to date is capturing and quantifying the exchange between multiple conformational states, mainly…

An experimental strategy has been developed specifically for the study of composition-dependent phase behavior in multi-component artificial membranes. The strategy is based on steady-state measurements of fluorescence resonance energy…

Soft Condensed Matter · Physics 2007-08-14 Jeffrey T. Buboltz

Michaelis--Menten analysis is often conducted by nonlinear least squares under a constant-variance assumption, even though enzyme-kinetic data frequently display concentration-dependent heteroscedasticity and often include repeated or…

Methodology · Statistics 2026-05-29 Mijeong Kim , Minkyoung Cha , Ah Young Jeong

We present an analytical model for Forster resonance energy transfer (FRET) between a donor and an acceptor placed in inhomogeneous and absorptive environment characterized by complex dielectric function, e.g., near a metal-dielectric…

Mesoscale and Nanoscale Physics · Physics 2025-04-21 L. S. Petrosyan , M. N. Noginov , T. V. Shahbazyan

Regional frequency analysis is an important tool to properly estimate hydrological characteristics at ungauged or partially gauged sites in order to prevent hydrological disasters. The delineation of homogeneous groups of sites is an…

Methodology · Statistics 2016-10-19 Pierre Masselot , Fateh Chebana , Taha B. M. J. Ouarda

Fluorescence microscopy allows for a detailed inspection of cells, cellular networks, and anatomical landmarks by staining with a variety of carefully-selected markers visualized as color channels. Quantitative characterization of…

Computer Vision and Pattern Recognition · Computer Science 2021-08-26 Alvaro Gomariz , Tiziano Portenier , Patrick M. Helbling , Stephan Isringhausen , Ute Suessbier , César Nombela-Arrieta , Orcun Goksel

F\"orster resonance energy transfer (FRET) is a quantum mechanical phenomenon involving the non-radiative transfer of energy between coupled electric dipoles. Due to the strong dependence of FRET on the distance between the dipoles, it is…

Chemical Physics · Physics 2024-12-04 David Frost , Keisha Cook , Hugo Sanabria

FRET measurements can provide dynamic spatial information on length scales smaller than the diffraction limit of light. Several methods exist to measure FRET between fluorophores, including Fluorescence Lifetime Imaging Microscopy (FLIM),…

Quantitative Methods · Quantitative Biology 2017-01-09 Bryan Kaye , Peter J. Foster , Tae Yeon Yoo , Daniel J. Needleman

We report high time-resolution measurements of photon statistics from pairs of dye molecules coupled by fluorescence resonance energy transfer (FRET). In addition to quantum-optical photon antibunching, we observe photon bunching on a…

Condensed Matter · Physics 2009-11-07 Andrew J. Berglund , Andrew C. Doherty , Hideo Mabuchi

Proteins naturally occur in crowded cellular environments and interact with other proteins, nucleic acids, and organelles. Since most previous experimental protein structure determination techniques require that proteins occur in idealized,…

Biological Physics · Physics 2025-08-14 Zhuoyi Liu , Alex T. Grigas , Jacob Sumner , Edward Knab , Caitlin M. Davis , Corey S. O'Hern

Single molecule FRET (fluorescence resonance energy transfer) is a powerful technique for detecting real-time conformational changes and molecular interactions during biological reactions. In this review, we examine different techniques of…

Biomolecules · Quantitative Biology 2007-05-23 Ivan Rasnik , Sean A. McKinney , Taekjip Ha

We consider inference problems for high-dimensional (HD) functional data with a dense number (T) of repeated measurements taken for a large number of p variables from a small number of n experimental units. The spatial and temporal…

Methodology · Statistics 2020-05-06 Shawn Santo , Ping-Shou Zhong

We propose a framework for testing the homogeneity of conditional average treatment effects (CATEs) across multiple experimental and observational studies. Our approach leverages multiple randomized trials to assess whether treatment…

Econometrics · Economics 2026-02-25 Ana Armendariz , Martin Huber

Large-scale simultaneous hypothesis testing appears in many areas such as microarray studies, genome-wide association studies, brain imaging, disease mapping and astronomical surveys. A well-known inference method is to control the false…

Methodology · Statistics 2025-07-22 Xiaoqing Niu , Pengfei Li , Yuejiao Fu

A mathematico-physically valid formulation is required to infer properties of disordered protein conformations from single-molecule F\"orster resonance energy transfer (smFRET). Conformational dimensions inferred by conventional approaches…

Biomolecules · Quantitative Biology 2017-09-13 Jianhui Song , Gregory-Neal Gomes , Tongfei Shi , Claudiu C. Gradinaru , Hue Sun Chan

A panel dataset satisfies marginal homogeneity if the time-specific marginal distributions are homogeneous or time-invariant. Marginal homogeneity is relevant in many economic settings, including dynamic discrete games,…

Econometrics · Economics 2025-12-08 Federico Bugni , Jackson Bunting , Muyang Ren

Time series data provided by single-molecule Forster resonance energy transfer (sm-FRET) experiments offer the opportunity to infer not only model parameters describing molecular complexes, e.g. rate constants, but also information about…

Quantitative Methods · Quantitative Biology 2015-05-13 Jonathan E. Bronson , Jingyi Fei , Jake M. Hofman , Ruben L. Gonzalez, , Chris H. Wiggins
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