Results 221 to 230 of about 490,818 (297)

Erratum to "Prediction of extreme rainfall with a generalized extreme value distribution"

open access: yesJournal of the Korean Data and Information Science Society, 2013
Yong Kyu Sung, Joong K. Sohn
openaire   +2 more sources

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

open access: yesAdvanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi   +4 more
wiley   +1 more source

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

open access: yesAdvanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang   +5 more
wiley   +1 more source

Polyrotaxane‐Assembled Semi‐Interpenetrating Polymer Electrolytes Enabling High‐Voltage Lithium Metal Batteries

open access: yesAdvanced Science, EarlyView.
This work develops a polyrotaxane‐based supramolecular semi‐interpenetrating network electrolyte. Its unique architecture decouples ion transport, achieving high ionic conductivity (0.18 mS cm−1), a superior Li+ transference number (> 0.73), and an extended electrochemical window (> 4.9 V), thereby significantly enhancing the performance of high ...
Tianyi Wang   +6 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy