Results 211 to 220 of about 5,976 (280)

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, Volume 13, Issue 34, 19 June 2026.
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

A goodness‐of‐fit test for regression models with discrete outcomes

open access: yesCanadian Journal of Statistics, Volume 54, Issue 2, June 2026.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang   +2 more
wiley   +1 more source

Algorithm Design for Stock Price Prediction System Based on Distilbert Financial News Sentiment Analysis Model

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
This study develops a lightweight pre‐trained model for financial news sentiment analysis and stock price prediction. By integrating domain adaptation and multimodal fusion, it achieves real‐time efficiency without compromising accuracy, offering a practical solution for intelligent investment and quantitative trading systems. ABSTRACT As the frequency
Jingyu Zhang
wiley   +1 more source

Properly Colored Cycles in Edge‐Colored Balanced Bipartite Graphs

open access: yesJournal of Graph Theory, Volume 112, Issue 2, Page 37-53, June 2026.
ABSTRACT Let G n , n c denote a (not necessarily properly) edge‐colored balanced bipartite graph on 2 n vertices, that is, in which every edge is assigned a color. A cycle C in G n , n c is called properly colored if any two consecutive edges of C have distinct colors.
Tingting Han   +3 more
wiley   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

open access: yesJournal of Intelligent Medicine, Volume 3, Issue 2, Page 169-191, June 2026.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy