<p>Normal bootstrap resampling values are represented in the Fig by green letters "bp", for "bootstrap probability". The multi-scale bootstrap resampling probabilities are represented by red letters "au", for "approximately unbiased", and are generally preferred over the "bp" bootstrap probabilities.</p
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
Genetic selection programs have driven development of most lactation models, to estimate the magnitu...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>To assess the uncertainty in hierarchical cluster analysis over samples, bootstrap resampling (10...
Abstract Background Hierarchical clustering is a widely applied tool in the analysis of microarray g...
Two analytical approaches were used to investigate the relationship between somatic cell concentrati...
This study analyzes the linear relationship between climate variables and milk components in Iran by...
<p>S-plot of orthogonal partial least squares discriminant analysis (OPLS-DA) of 55 giant panda milk...
<p>(A) PLS separation of participants based on saliva microbiota characterization by Illumina MiSeq ...
The aim of this study was to develop a predictive model for mastitis incidence, independent from Som...
Internal validity of a risk model can be studied efficiently with bootstrapping to assess possible o...
In the analysis of clustered or hierarchical data, a variety of statistical techniques can be applie...
The data for this cross-sectional retrospective study are from surveys of 65 dairy-cattle herds in c...
To ensure milk quality and detect cows with signs of mastitis, visual inspection of milk by prestrip...
There are two notoriously hard problems in cluster analysis, estimating the number of clusters, and ...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
Genetic selection programs have driven development of most lactation models, to estimate the magnitu...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>To assess the uncertainty in hierarchical cluster analysis over samples, bootstrap resampling (10...
Abstract Background Hierarchical clustering is a widely applied tool in the analysis of microarray g...
Two analytical approaches were used to investigate the relationship between somatic cell concentrati...
This study analyzes the linear relationship between climate variables and milk components in Iran by...
<p>S-plot of orthogonal partial least squares discriminant analysis (OPLS-DA) of 55 giant panda milk...
<p>(A) PLS separation of participants based on saliva microbiota characterization by Illumina MiSeq ...
The aim of this study was to develop a predictive model for mastitis incidence, independent from Som...
Internal validity of a risk model can be studied efficiently with bootstrapping to assess possible o...
In the analysis of clustered or hierarchical data, a variety of statistical techniques can be applie...
The data for this cross-sectional retrospective study are from surveys of 65 dairy-cattle herds in c...
To ensure milk quality and detect cows with signs of mastitis, visual inspection of milk by prestrip...
There are two notoriously hard problems in cluster analysis, estimating the number of clusters, and ...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
Genetic selection programs have driven development of most lactation models, to estimate the magnitu...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...