Enhancing COVID-19 forecasts with a lightweight multi-head depthwise separable convolution network. [PDF]
Lan H, Ni S.
europepmc +1 more source
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
Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide. [PDF]
Sheppert AP.
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
DFU-GCNet: a global context-enhanced inception network for robust and interpretable diabetic foot ulcer classification. [PDF]
Bhuiyan MTA +4 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
HESREN: A Derivative-Informed Reservoir Framework for Detecting Transient Neural Events and Windowless Estimation of Dynamic Functional Connectivity. [PDF]
Kadak U.
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
An Innovative Semiparametric Density Model for the Statistical Characterization of Ground-Vehicle Radar Cross Sections. [PDF]
Liu Z, Wen S, Sun H, Deng M.
europepmc +1 more source
Heat kernel smoothing using Laplace-Beltrami eigenfunctions. [PDF]
Seo S, Chung MK, Vorperian HK.
europepmc +1 more source

