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scMOG: A graph neural network method for regulatory relationship‐preserving single‐cell multi‐omics integration

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell multi‐omics sequencing technology provides a powerful tool for studying cellular heterogeneity. However, beyond the challenges of sparsity, heterogeneity, and dimensionality differences, a critical challenge in multi‐omics data integration lies in preserving the true regulatory relationships among molecular features.
Yucheng Lu, Xun Zhang, Hongwei Li
wiley   +1 more source

Towards practical AI for agriculture: A self-supervised attention framework for Spinach leaf disease detection. [PDF]

PLoS One
Kabya ND, Sharafat MS, Emu RI, Opee MK, Khan R.   +4 more
europepmc   +1 more source

PatchSight-ImmuneMap-LifeSpan as a unified AI framework for breast cancer diagnosis, immune profiling and prognostic prediction. [PDF]

Discov Oncol
Al-Nussairi AKJ, Ali ABM, Malik S, Patro SGK, Mahanty C, Abass KS, Basheti I, Dessalegn AA, Muzammil K, Kumar S.   +9 more
europepmc   +1 more source

Preoperative Ternary Classification of Pulmonary Ground-Glass Nodules (AIS/MIA/IAC): ResNet-10 Outperforms Radiomics and Clinicoradiographic Models in Multicenter Study. [PDF]

Technol Cancer Res Treat
Long D, Zuo Z, Zhou H, Qi W, Zhang S, Deng J, Yang Z.   +6 more
europepmc   +1 more source

Spinal disease image segmentation technology integrating U-ResNet and shape-aware attention. [PDF]

Sci Rep
Zhao D, Qin R, Chai Z, Ma S, Gao Q.
europepmc   +1 more source

Malaria Parasite Cell Classification Using Transfer Learning with State-of-the-Art CNN Architectures. [PDF]

Biology (Basel)
Laghari AA, Muhammad W, Memon ML, Hussain A, Kumar A.   +4 more
europepmc   +1 more source