Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu +9 more
wiley +1 more source
Long-Time Dynamics for the Kelvin-Helmholtz Equations Close to Circular Vortex Sheets. [PDF]
Murgante F, Roulley E, Scrobogna S.
europepmc +1 more source
Examining Potential Boundary Bias Effects in Kernel Smoothing on Equating: An Introduction for the Adaptive and Epanechnikov Kernels. [PDF]
Cid JA, von Davier AA.
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RCI is associated with functional suppression of oxytocinergic neurons in the PVN. Reduced PVNOXT neuronal activity contributes to altered sympathetic regulation involving the IML–sympathetic chain pathway, accompanied by changes in norepinephrine signaling at the BTI.
Liyang Wan +8 more
wiley +1 more source
Influence of Functional Magnetic Resonance Imaging Data Preprocessing Pipelines on the Accuracy of Schizophrenia Classification Using Machine Learning Methods. [PDF]
Poyda AA +7 more
europepmc +1 more source
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti +5 more
wiley +1 more source
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Position-Dependent Hemodynamics of Popliteal Artery Stent Grafts: The POPFLEX Study. [PDF]
Chronis C +5 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Nonlinear KCCA in fMRI activation analysis: Self-supervised optimization and robust back-reconstruction. [PDF]
Han C, Yang Z, Zhuang X, Cordes D.
europepmc +1 more source

