activity
20182025
most citedA whitening approach to probabilistic canonical correlation analysis for omics data integration

42 citations · 47 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CY2025★ 1 cited

A real-time metric of online engagement monitoring

Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou +1

Measuring online behavioural student engagement often relies on simple count indicators or retrospective, predictive methods, which present challenges for real-time application. To…

stat.AP2025

Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes

Ali Akbar Septiandri, Deyu Ming, F. Alejandro DiazDelaO +2

Healthcare data, particularly in critical care settings, presents three key challenges for analysis. First, physiological measurements come from different sources but are inherentl…

cs.CY2024★ 4 cited

Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning

Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou +1

Understanding and enhancing student engagement through digital platforms is critical in higher education. This study introduces a methodology for quantifying engagement across an e…

cs.CY2024

Evaluating Pedagogical Incentives in Undergraduate Computing: A Mixed Methods Approach Using Learning Analytics

Laura J. Johnston, Takoua Jendoubi

In the context of higher education's evolving dynamics post-COVID-19, this paper assesses the impact of new pedagogical incentives implemented in a first-year undergraduate computi…

q-bio.PE2023

A Bayesian spatio-temporal study of meteorological factors affecting the spread of COVID-19

Jamie Mullineaux, Takoua Jendoubi, Baptiste Leurent

The spread of COVID-19 has brought challenges to health, social and economic systems around the world. With little to no prior immunity in the global population transmission has be…

stat.ME2018★ 42 cited

A whitening approach to probabilistic canonical correlation analysis for omics data integration

Takoua Jendoubi, Korbinian Strimmer

Background: Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications,…

stat.AP2018

Integrative analysis of time course metabolic data and biomarker discovery

Takoua Jendoubi, Timothy M. D. Ebbels

Metabonomics time-course experiments provide the opportunity to understand the changes to an organism by observing the evolution of metabolic profiles in response to internal or ex…