Multi-Modal Interpretable Representation for Non-Coding RNA Classification and Class Annotation

Life Sciences, Bioengineering, Genetics,
non-coding RNA   multi-modal learning   deep learning   classification   annotation   bioinformatics   interpretability  

Non-coding RNAs (ncRNAs) play critical roles in cellular processes and disease development. Although genome sequencing projects have revealed a vast number of non-coding genes, the functional classification of ncRNAs remains a complex and challenging issue. The diversity, complexity, and functionality of ncRNAs make them important subjects in biome...

Q-Cogni: An Integrated Causal Reinforcement Learning Framework

Information Science, Computer Science, Artificial Intelligence,
causal inference   reinforcement learning   vehicle routing problem   autonomous causal structure discovery   model-free learning   model-based learning   interpretability  

Research Insight Report: Q-Cogni—An Integrated Causal Reinforcement Learning Framework In recent years, the rapid advancement of artificial intelligence (AI) has propelled researchers to explore the development of more efficient and interpretable reinforcement learning (RL) systems. Due to its ability to mimic human decision-making, reinforcement l...