Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride
This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee +10 more
wiley +1 more source
WEDGE-Net: Wavelet-Driven Memory-Efficient Anomaly Detection for Industrial Edge Computing. [PDF]
Park JM, Kim GY.
europepmc +1 more source
A triple-branch multi-scale network for real-time semantic segmentation. [PDF]
Zhao Y +5 more
europepmc +1 more source
Memory-Based or Experience-Based? Subject-Object Asymmetry in Mandarin Relative Clause Processing from the Aging Perspective. [PDF]
Liu X, Shi J, Wu S.
europepmc +1 more source
Patient Perspectives on Approval Speed vs Evidentiary Certainty in US Cancer Drug Approvals.
Forrest R +7 more
europepmc +1 more source
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