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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
We consider a complex-valued L × L exponential correlation matrix. Such a matrix has unit diagonal elements; each lower off-diagonal element is the correlation coefficient raised to the power of the ...
-The function returns entry [0,1] of the correlation matrix. -Compute the Pearson correlation between the data in the arrays versicolor_petal_length and versicolor_petal_width.
A correlation matrix is a valuable statistical tool that appraisers can use to assess relationships between different variables, ensuring that they produce thorough, defensible, and reproducible ...
In this article, we apply the within-cluster resampling technique to U-statistics to form new tests and rank-based correlation estimators for possibly tied clustered data. We develop large sample ...
Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. In this exercise, iris ...
The latest trends and issues around the use of open source software in the enterprise. Data lake analytics platform company Starburst has extended support for Python with PyStarburst and announced ...
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