Examples of 'biaevaluation' in a sentence
Meaning of "biaevaluation"
Biaevaluation (noun): A process of assessing or evaluating bias, particularly in research, decision-making, or data analysis. It involves identifying and addressing any prejudices, assumptions, or influences that may affect the objectivity of the evaluation
How to use "biaevaluation" in a sentence
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biaevaluation
Data were analyzed using the BIAevaluation software.
BiaEvaluation software and a Langmuir binding model was used to fit the data.
Evaluation is performed using the BIAevaluation software.
Sensorgrams were analyzed using BIAevaluation software 3.1 and a hyperbolic double rectangular regression equation in SigmaPlot 6.0.
Sensorgrams were analyzed using BIAevaluation software.
Binding association rate, dissociation rate and the overall affinity were calculated in BIAevaluation.
Background subtraction binding curves were analyzed using the BIAevaluation software ( version 3.2 ) following standard procedures.
Kinetic analysis was performed using algorithms for numerical integration and global analysis using BIAevaluation 3.0.
Background subtraction binding curves were analysed using the BIAevaluation software ( version 3.2 ) following standard procedures.
Kinetic analysis is performed using algorithms for numerical integration and global analysis using BIAevaluation 3.0.
Analysis was performed using BIAevaluation software ( Biacore ).
Kinetic analyses were performed using algorithms for numerical integration and global analysis using BIAevaluation 3.0.
The experimental results were analyzed by Biaevaluation software version 4.0.
Such data were also analyzed for steady state equilibrium affinities using the BIAevaluation software.
Fitting was performed using BIAevaluation and assuming a 1:1 Langmuir binding interaction.
See also
The binding affinity of each substance was calculated using BIAevaluation software.
The data obtained was analyzed by GE 's BIAevaluation software using 1:1 ( Langmuir ) binding model.
The affinity constant of the interaction was analyzed using BIAevaluation software.
Kinetic and affinity constants were determined using Biaevaluation software ( Biacore ) with a 1:1 interaction model / global fit.
The modelling of the recorded interactions was made by means of the Biaevaluation software ( GE ).
Kinetic and affinity constants were determined using the Biaevaluation software with a 1:1 interaction model / global fit.
Kinetic traces of reference-subtracted sensorgrams were fit to a 1:1 binding model using Biaevaluation software.
The results were analyzed in BiaEvaluation software ( GE Healthcare ).
Sensorgrams were analyzed using the simultaneous ka / kd fitting program in the BIAevaluation software 3.1.
The resulting sensorgrams were analysed by the Biaevaluation software with a 1:1 model.
Multi-concentration data underwent fitting using the software BIAevaluation 3.2.
The results were analyzed with a BiaEvaluation software ( GE Healthcare ).
The Koff value for each antibody was analyzed vÃa BIAevaluation software.
Data were analyzed with BIAevaluation software 4.1.
Kinetic constants for the various interactions are determined using BIAevaluation software 3.1.
Data evaluation was performed using BIAevaluation 4.1 software ( BIAcore AB ).
The binding to and dissociation from antigen were determined using BIAevaluation 3.0 software.
The affinity was computed using BIAevaluation Software.
The sensograms recorded were evaluated and processed using the BIAevaluation 3.1 software.
The dissociation rate constant was calculated with BIAevaluation software ( GE Healthcare ).
Fitting of sensorgrams for affinity estimations was performed using the Biaevaluation version 3.1.
Sensorgrams were generated and analyzed by using BIAevaluation software version 3.1.
The binding affinity was analyzed using 1:1 Langmuir binding model of BIAevaluation software program.
The resulting sensorgrams were analysed using the Biaevaluation software with a 1:1 model.
Binding curves generated by SPR measurements were analyzed using the BIAevaluation 3.0 analysis package.
The data were analyzed by using BIAevaluation software 4.1.
The binding sensorgrams were analyzed using BIAevaluation 3.2.
Sensorgrams are analyzed with the BIAevaluation 3.0 program.
Sensorgram curves were fitted to a 1:1 kinetic binding model with the BIAevaluation 3.0 software.
Kinetic analysis was performed using a BIAevaluation 3.0 software.
The kinetic parameters of the binding reactions are then determined using, e.g., BIAevaluation 2.1 software.
Data analysis was carried out using BiaEvaluation v3.2 software.
All apparent binding affinities were calculated using the Biaevaluation software 2.2.4.
Kinetic parameters were calculated using Biaevaluation software.
Data transformation and overlay plots were prepared with BIAevaluation software version 4.0.1.
