levenberg–marquardt nonlinear regression (RStudio)
90
Structured Review
RStudio
levenberg–marquardt nonlinear regression
Levenberg–Marquardt Nonlinear Regression, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nonnegative+linear+least-squares+algorithm/non+linear+least+squares+regression+with+the+levenberg+marquardt+algorithm/pmc11020164-288-0-7
Average 90 stars, based on 1 article reviews
Levenberg–Marquardt Nonlinear Regression, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nonnegative+linear+least-squares+algorithm/non+linear+least+squares+regression+with+the+levenberg+marquardt+algorithm/pmc11020164-288-0-7
Average 90 stars, based on 1 article reviews
levenberg–marquardt nonlinear regression - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: Cooperative Conformational Transitions Underpin the Activation Heat Capacity in the Temperature Dependence of Enzyme Catalysis Article Snippet: Article Title: Exploring CO2-Laser Microperforation: Potential for Enhanced Mass and Thermal Diffusion in Banana (Musa sapientum) Dehydration Article Snippet: This study investigates the potential application of CO2-laser microperforation as a pre-treatment to reduce energy consumption and drying time using three approximate pore density (6, 11 and 24 pores · cm−2) and two pore size (220.89 ± 14.15 and 431.96 ± 19.92 μm) to enhance water removal from banana slices during air-drying at 60 °C and 1.2 m · s−1.. The results demonstrate that CO2-laser microperforation significantly reduced the dehydration time by up to 40% (from 169 min in control samples to 102 min in treated samples) due to an increased rate of water diffusion.. This enhancement was corroborated by a 1.7-fold increase in the effective diffusivity coefficient, a 2.17-fold increase in the surface area-to-volume ratio, and a 1.11-fold improvement in energy absorption tendencies. Article Title: The influence of sample distribution on growth model output for a highly-exploited marine fish, the Gulf Corvina ( Cynoscion othonopterus ) Article Snippet: Model parameters were estimated using non-linear least squares regression with the Levenberg–Marquardt algorithm, and confidence limits were placed around |
![A: FRET spectrum (red solid line) for basal (0 μM) cAMP from Figure 2 showing estimated contributions of CFP (long-dash blue line) and YFP (short-dash green line) calculated using linear <t>unmixing;</t> B: the sum of the estimated CFP and YFP contributions (dashed blue line) very closely matches the FRET spectrum from A (solid red line); C: FRET efficiency calculated using the CFP peak intensity (473 nm) and the YFP peak intensity (525 nm); D: FRET efficiency calculated by linear unmixing, as shown in A, and dividing the CFP abundance by the CFP+YFP abundance (black squares); the linear unmixing FRET has been further corrected by estimating the percent of the acceptor signal that is due to direct excitation and then subtracting this percent from the total acceptor signal before dividing by the donor signal (red triangles), as shown in Eq. (13). Normalized FRET responses are shown in Figure 4. [Color figure can be viewed in the online issue which is available at wileyonlinelibrary.com]](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_4658/pmc04374658/pmc04374658__nihms667153f3.jpg)
![1-FRET response normalized to minimum and maximum FRET levels. Error bars indicate the standard error-of-the-mean (n = 3) for each cAMP concentration. A: one-filter set method; B: two-filter set method; C: three-filter set method; D: three-filter set method and corrected for changes in CFP concentration; E: YFP-CFP peak intensity ratio; F: linear unmixing YFP-CFP ratio; G: linear unmixing YFP-CFP ratio, corrected for direct excitation of YFP. Note that panels A and C represent FRET indices, whereas panels B, D, E, F, and G represent FRET efficiencies. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com]](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_4658/pmc04374658/pmc04374658__nihms667153f4.jpg)
![Hyperspectral confocal microscope images were unmixed to calculate fluorophore intensities and the FRET efficiency. A: Raw hyperspectral confocal microscope image (all wavelength bands summed) of HEK-293 cells expressing the CFP-Epac-YFP probe; B: the spectral library used for linear unmixing; nonnegatively constrained linear unmixing was used to calculate images for C: Hoechst, D: CFP, and E: YFP; F: the unmixed CFP and YFP images were summed to locate expressing (transfected) cells; G: the FRET efficiency was calculated using equation 23 (note that this image was later masked so that only regions with sufficient signal were used for single-cell FRET calculations, as shown in Figure 6); H: the root-mean-square (RMS) percent error associated with linear unmixing was calculated as the RMS residual from unmixing divided by the RMS signal of the original spectral image. [Color figure can be viewed in the online issue which is available at wileyonlinelibrary.com]](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_4658/pmc04374658/pmc04374658__nihms667153f5.jpg)