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A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
Enhancing Named Entity Recognition for immunology and immune-mediated disorders. [PDF]
Chen S, Che J, Sun M, Wang Y.
europepmc +1 more source
Human Beta Oscillations Reflect Magnitude and Fidelity of Priority Shifts in Working Memory. [PDF]
Myers NE, Stokes MG, Muhle-Karbe PS.
europepmc +1 more source
Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches. [PDF]
Al-Bander B.
europepmc +1 more source
Mouse sensorimotor cortex reflects complex kinematic details during reaching and grasping. [PDF]
Grier HA, Salimian S, Kaufman MT.
europepmc +1 more source
Near-Optimal Decoding Algorithm for Color Codes Using Population Annealing. [PDF]
Martínez-García F +2 more
europepmc +1 more source

