The overall user experience has been improved, most notably simplified scripting in SIMCA®, allowing users to get it right from the start. These developments include better documentation, improved sample Python scripts, and automatically created unit tests. ...
The overall user experience has been improved, most notably simplified scripting in SIMCA®, allowing users to get it right from the start. These developments include better documentation, improved sample Python scripts, and automatically created unit tests. ...
Our Python package is unique in that it is the only package we know that is completely free to use that focuses exclusively on multivariate synchrony, and the only one to offer our particular combination of metrics, the value of which is demonstrated by the fact that these metrics have been ...
Future motility data was also normalized using the segmented worm area so wells with more worms did not have a resultant higher motility value, and experiments employed a plate design with staggered controls, allowing for regression of values from treatment wells to a line fit across control wells...
We used the approximate Bayes factor (ABF), probabilistic annotation integrator (PAINOR), CAVIAR Bayes factor (CAVIARBF), FINEMAP and sum of single effects (SuSiE) in the python pipeline and easyfinemap (https://Jianhua-Wang.github.io/easyfinemap) to identify the most plausible causal variant...
Genomic SEM proceeds in two stages. Stage 1 estimates the empirical genetic covariance matrix and corresponding sampling covariance matrix. We prepared the aging-related GWAS summary statistics for stage 1 and used the multivariate extension of cross-trait LD score regression14,20to generate the empiri...
Multiple Regression Analysis Chapter 5. Multiple Discriminant Analysis Chapter 6. Logistic Regression: Regression with a Binary Dependent Variable Chapter 7. Conjoint Analysis Chapter 8. Cluster Analysis Chapter 9. Multidimensional Scaling Chapter 10. Analyzing Nominal Data with Correspondence Analysis Chapter...
The customised functions use the Python modules system 3.9.1, numpy 1.22.2 and pandas 1.4.0. Generating the networks in the simulation study requires additionally the packages SciPy 1.8.0 and scikit-learn 1.0. The network analyses described in Sec. “Small-world network” make additionally ...
For this purpose, we use the process_time_ns function from standard Python library (Stinner 2017) which has the highest temporal resolution with 1 nano second. To compensate the inaccuracies due to the parallel occurring load or further inaccuracies in the determination of the runtime, all ...
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