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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Regression analysis, including curvilinear and multilinear models, identified correlations between these indices and the physicochemical and ADMET properties of these drugs. QSPR models are developed ...

The data science industry is booming, valued at $378 billion in 2025, and three key languages are driving its growth: Python, R, and SQL. Each language has its unique strengths, with Python dominating ...

Article citations More>> Berk, R.A. (2016) Regression Analysis: A Constructive Critique. SAGE Publications. has been cited by the following article: TITLE: The Efficacy of Statistics in All Major ...

Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...

In conclusion, researchers introduced a comprehensive exploration of LLM embeddings in regression tasks offering significant insights into their potential and limitations. By investigating multiple ...

The detection of various reactions using computer vision, machine learning, and artificial intelligence is a rapidly growing field of research. In this paper, we present a sentiment analysis model ...

Python has emerged as a dominant language in the realm of data analysis, thanks to its versatility, ease of use, and a rich ecosystem of libraries. Among the plethora of tools available, some stand ...

This repository contains the code and data for a multiple linear regression analysis of Citi Bike ridership data in New York City. The analysis aims to predict Citi Bike ridership demand using a ...