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AI model ranks genetic variants from severe to mild disease mutations

EVE combines evolutionary insights with human population data to identify damaging genetic mutations, improving variant ...
IEEE

Toward Adaptive and Interpretable Process Monitoring: Incremental Variational Graph Attention Autoencoder With Probabilistic Inference

Abstract: Complex industrial processes exhibit typical nonstationarity due to frequently fluctuating material flows and complex control loops. This poses three challenges for trustworthy process ...
Forbes

15 Mission Statement Examples For Your Business

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...
GitHub

HiSTaR : identifying spatial domains in spatial transcriptomics data with Hierarchical Decoupled Variational Autoencoder

we propose a Hierarchical ST variational autoencoder (HiSTaR) to extract multi-level latent features of spots. HiSTaR tends to perform well in identifying spatial domains across multiple datasets from ...
IEEE

Deep Learning for Anomaly Detection: A CNN-LSTM Autoencoder Approach

Abstract: Due to the significant growth of video surveillance installations in recent years, video anomaly detection has attracted considerable interest in the security sector. Detecting anomalies in ...