Results 161 to 170 of about 2,659 (265)
NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang +5 more
wiley +1 more source
High genus surface parameterization using the Euclidean Ricci flow method. [PDF]
Wang YG.
europepmc +1 more source
Tracking physical impacts is important in many fields. Self‐assembled microparticles made from polydiacetylene and silk fibroin that change color from blue to red when hit can provide an alternative approach to traditional mechanical transducers, quantitatively visualizing impact with responses ranging from <100 to 770 N.
Marco Lo Presti +4 more
wiley +1 more source
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics. [PDF]
Bhattacharyya S, Pal U, Chakraborti T.
europepmc +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Calibrated Uncertainty Estimation for Soil Organic Carbon from Raman Spectra. [PDF]
Wiens JK, Solomatova N, Shokatian S.
europepmc +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Solving the QCD effective kinetic theory with neural networks. [PDF]
Cabodevila SB, Kurkela A, Lindenbauer F.
europepmc +1 more source
Utilizing molecular engineering for network design, three pesticide‐loaded organogels (PLOs) carriers exhibiting varying degrees of flexibility were prepared. The mechanical properties of these carriers, tunable via their network molecular structures, enhance their structural adaptability and retention stability at biological interfaces, thereby ...
Yue Wang +6 more
wiley +1 more source
The Tolman-Ehrenfest criterion of thermal equilibrium in scalar-tensor gravity. [PDF]
Karolinski N, Faraoni V.
europepmc +1 more source

