Funding mechanisms impact the cost effectiveness of the science conducted, as extramural NIH grants to universities excel at producing papers and citations, while intramural NIH hiring more ...

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Handling Excel datasets with multiple header rows can be challenging, especially when dealing with complex reports. Excel Off The Grid explains how to streamline this process using Power Query, ...

AstraZeneca isn’t letting a death in a China trial detract from the potential of its $1 billion in vivo bet, even as the candidate’s safety and efficacy profile have so far failed to separate it from ...

A python package for scalable Gaussian process regression, allowing for simultaneous inference of both a dataset's latent function and input-dependent noise profile. Originally developed for ...

This repository contains the synthetic dataset, Python code, and visualization outputs for a machine learning demonstration predicting job burnout scores from multiple psychosocial and behavioral ...

This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for addressing missing data in mine ventilation parameters. Using historical ventilation system data from ...

Abstract: This paper presents an autoML algorithm to select linear regression model and its performance evaluation for any linear dataset. It computes and compares the performance of various multiple ...