scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Holding the treatment frame: borderline features, personality functioning, and psychotherapy dropout in a youth mental health service. [PDF]
De Salve F +6 more
europepmc +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Effectiveness of the Functional-Cognitive and Sensory Treatment for Improving Daily Functioning of Individuals with Substance Use Disorder: A Randomized Controlled Trial. [PDF]
Assayag N +5 more
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Odocoileus virginianus PRNP sequencing reveals AF (Q<sub>95</sub>G<sub>96</sub>/H<sub>95</sub>G<sub>96</sub>) advantage over AC (Q<sub>95</sub>G<sub>96</sub>/Q<sub>95</sub>S<sub>96</sub>) against chronic wasting disease. [PDF]
London EW +5 more
europepmc +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
Dropout in supervised small-group exercise programs: a 7-year retrospective cohort study. [PDF]
da Silva CER +8 more
europepmc +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Socioeconomic inequality in second-dose measles vaccination dropout among children aged 15-35 months in East Africa: A decomposition analysis of a recent Demographic Health Survey. [PDF]
Molla Lakew A +5 more
europepmc +1 more source

