Abstract: A Time-series investigation is a simple technique for dividing information from reconsideration perceptions on a solitary unit or individual at ordinary stretches over countless perceptions.

Modern biological studies are characterized by the involvement of various ‘omic’ data types that describe the totality of biological entities, such as genomics, transcriptomics, proteomics, ...

Exploratory Data Analysis (EDA) is the critical first step in any data science project. It's the process of investigating datasets to discover patterns, spot anomalies, test hypotheses, and check ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Welcome to the new edition of my newsletter, Data Science Demystified! Last week, we wrapped up the data cleaning and this week we will explore Exploratory Data Analysis (EDA) which is probably the ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

ABSTRACT: With this work, we introduce a novel method for the unsupervised learning of conceptual hierarchies, or concept maps as they are sometimes called, which is aimed specifically for use with ...

Personality and cognitive function are heritable mental traits whose genetic foundations may be distributed across interconnected brain functions. Previous studies have typically treated these complex ...

In today’s data-driven world, the ability to effectively analyze data is a key factor in the success of many enterprises. By leveraging data analysis tools and techniques, businesses can gain insights ...