SpatialRNA: a Python package for easy application of Graph Neural Network models on single-molecule spatial transcriptomics dataset. [PDF]
Lyu R +4 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
MoleculeFormer is a GCN-transformer architecture for molecular property prediction. [PDF]
Qin M +5 more
europepmc +1 more source
Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim +15 more
wiley +1 more source
Struct2GO-Enhanced: Multimodal Graph Attention Improves Protein Function Prediction. [PDF]
Shi Z, Vo TH, Le NQK, Chua MCH.
europepmc +1 more source
Multimodal Structural Color Graphics Based on Colloidal Photonic Microdome Arrays
A hybrid photonic system combining colloidal crystals and microscale domes is designed to achieve four switchable optical states via the interplay of Bragg reflection and TIR interference. The graphics composed of the photonic microdome arrays provide tunable, angle‐sensitive structural coloration and concealed‐to‐revealed transitions, offering a ...
Jun‐Gu Kang +4 more
wiley +1 more source
Rapid Exploration of the Assembly Chemical Space of Molecular Graphs. [PDF]
Seet I +4 more
europepmc +1 more source
Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies. [PDF]
Ahmad B, Ouahada K, Hamam H.
europepmc +1 more source
MoAGNN: a multi-omics hierarchical graph neural network for subtype classification and prognosis prediction in lung adenocarcinoma. [PDF]
Lin CP +7 more
europepmc +1 more source
Multi-Solvent Graph Neural Network for Reduction Potential Prediction Across the Chemical Space. [PDF]
Fedorov R, Nihei A, Gryn'ova G.
europepmc +1 more source

