Obtaining genetics insights from deep learning via explainable artificial intelligence
Artificial intelligence (AI) models based on deep learning now represent the state of the art
for making functional predictions in genomics research. However, the underlying basis on …
for making functional predictions in genomics research. However, the underlying basis on …
Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
Real-world data: a brief review of the methods, applications, challenges and opportunities
F Liu, D Panagiotakos - BMC Medical Research Methodology, 2022 - Springer
Background The increased adoption of the internet, social media, wearable devices, e-
health services, and other technology-driven services in medicine and healthcare has led to …
health services, and other technology-driven services in medicine and healthcare has led to …
Artificial intelligence‐enabled sensing technologies in the 5G/internet of things era: from virtual reality/augmented reality to the digital twin
With the development of 5G and Internet of Things (IoT), the era of big data‐driven product
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …
Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects
The removal of introns from mRNA precursors and its regulation by alternative splicing are
key for eukaryotic gene expression and cellular function, as evidenced by the numerous …
key for eukaryotic gene expression and cellular function, as evidenced by the numerous …
CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores
Background Splicing of genomic exons into mRNAs is a critical prerequisite for the accurate
synthesis of human proteins. Genetic variants impacting splicing underlie a substantial …
synthesis of human proteins. Genetic variants impacting splicing underlie a substantial …
A survey on neural network interpretability
Along with the great success of deep neural networks, there is also growing concern about
their black-box nature. The interpretability issue affects people's trust on deep learning …
their black-box nature. The interpretability issue affects people's trust on deep learning …
Membership inference attacks on machine learning: A survey
Machine learning (ML) models have been widely applied to various applications, including
image classification, text generation, audio recognition, and graph data analysis. However …
image classification, text generation, audio recognition, and graph data analysis. However …
Advances in adversarial attacks and defenses in computer vision: A survey
Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …
ability to accurately solve complex problems is employed in vision research to learn deep …
A survey on adversarial attacks and defences
Deep learning has evolved as a strong and efficient framework that can be applied to a
broad spectrum of complex learning problems which were difficult to solve using the …
broad spectrum of complex learning problems which were difficult to solve using the …