search for: immunoassays

Dear R-helpers, I am developing a Mixed-Effects model for a study of immunoassays using 'lme4' library. The study design is as follows: 10 samples were run using 7 different immunoassays, 3 times each, in duplicates. Data attached. I have developed the following model: c.lme <- lmer(Result~SPL + (SPL|Assay/Run) -1, data=data) This model has excellent predictions...

Dear R-Helpers, I'm working with immunoassay data and 5PL logistic model. I wanted to experiment with different forms of weighting and parameter selection, which is not possible in instrument software, so I turned to R. I am using R 2.14.2 under Win7 64bit, and the 'nls' library to fit the model - I started with the same model and weighting type (1/y) as in the instrument to see

...learn, be proactive and motivated, and consistently focus on details and execution. - Ablility to function effectively in a team environment - Ability to collaborate with multi-discipline scientists Preferred: - Bioinformatics and Cheminformatics - Assay development and validation (e.g., PCR, immunoassays, immunohistochemistry) - Knowledge of technology platforms, e.g. NGS - Application of Bayesian methods to high-dimensional-data analysis - Graphical Models Our employees are the key to our company's success. We demonstrate our commitment to our employees by offering a competitive and valuab...

HI I'm a student in chemical engineering, and i have to implement an algoritm about FIVE PARAMETERS INTERPOLATION for a calibration curve (dose, optical density) y = a + (c - a) /(1+ e[-b(x-m]) where x = ln(analyte dose + 1) y = the optical absorbance data a = the curves top asymptote b = the slope of the curve c = the curves bottom asymptote m = the curve X intercept Have you never seen