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How to Use pandas DataFrames in Python to Analyze and Manipulate Data
pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...
This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...
A research team demonstrates that unmanned aerial vehicles (UAVs) equipped with multispectral sensors can rapidly and accurately estimate two key photosynthetic traits—the maximum carboxylation rate ...
Data will include the name of the medication ... we will construct a multiple linear regression model, adjusting for potential confounders such as age, sex, ASA grade, surgery duration and ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
A new research paper was published in Volume 17, Issue 8 of Aging-US on August 8, 2025, titled “AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging.” ...
Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors
Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
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