A roadmap for multi-omics data integration using deep learning
High-throughput next-generation sequencing now makes it possible to generate a vast
amount of multi-omics data for various applications. These data have revolutionized …
amount of multi-omics data for various applications. These data have revolutionized …
Incorporating machine learning into established bioinformatics frameworks
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …
numerous machine learning techniques to address emerging problems in biology and …
Trends in persuasive technologies for physical activity and sedentary behavior: a systematic review
Persuasive technology (PT) is increasingly being used in the health and wellness domain to
motivate and assist users with different lifestyles and behavioral health issues to change …
motivate and assist users with different lifestyles and behavioral health issues to change …
A Monte Carlo evaluation of weighted community detection algorithms
The past decade has been marked with a proliferation of community detection algorithms
that aim to organize nodes (eg, individuals, brain regions, variables) into modular structures …
that aim to organize nodes (eg, individuals, brain regions, variables) into modular structures …
Automatic classification of colour fundus images for prediction eye disease types based on hybrid features
A Shamsan, EM Senan, HSA Shatnawi - Diagnostics, 2023 - mdpi.com
Early detection of eye diseases is the only solution to receive timely treatment and prevent
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …
Computer Generated Realistic Interstellar Icy Grain Models: Physicochemical Properties and Interaction with NH3
Interstellar grains are composed by a rocky core (usually amorphous silicates) covered by
an icy mantle, the most abundant molecule being H2O followed by CO, CO2, NH3, and also …
an icy mantle, the most abundant molecule being H2O followed by CO, CO2, NH3, and also …
A Visual Designer of Layer‐wise Relevance Propagation Models
Abstract Layer‐wise Relevance Propagation (LRP) is an emerging and widely‐used method
for interpreting the prediction results of convolutional neural networks (CNN). LRP …
for interpreting the prediction results of convolutional neural networks (CNN). LRP …
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Introduction Can we apply graph representation learning algorithms to identify autism
spectrum disorder (ASD) patients within a large brain imaging dataset? ASD is mainly …
spectrum disorder (ASD) patients within a large brain imaging dataset? ASD is mainly …
Detection and analysis of heartbeats in seismocardiogram signals
This paper presents an unsupervised methodology to analyze SeismoCardioGram (SCG)
signals. Starting from raw accelerometric data, heartbeat complexes are extracted and …
signals. Starting from raw accelerometric data, heartbeat complexes are extracted and …
Better understanding the phenotypic effects of drugs through shared targets in genetic disease networks
E Díaz-Santiago, AA Moya-García… - Frontiers in …, 2025 - frontiersin.org
Introduction Most drugs fail during development and there is a clear and unmet need for
approaches to better understand mechanistically how drugs exert both their intended and …
approaches to better understand mechanistically how drugs exert both their intended and …