Results 221 to 230 of about 2,218,762 (336)
Minors of Hermitian (quasi-) Laplacian matrix of a mixed graph [PDF]
Deepak Sarma
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Cell lineage tracing: Methods, applications, and challenges
Abstract Cell lineage tracing is a crucial technique for understanding cell fate and lineage relationships, with wide applications in developmental biology, tissue regeneration, and disease progression studies. Over the years, experimental cell lineage tracing methods have advanced from early labeling techniques to modern genetic tools such as CRISPR ...
Shanjun Mao+5 more
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Persistent Sheaf Laplacian Analysis of Protein Flexibility. [PDF]
Hayes N+4 more
europepmc +1 more source
Graph transformer with disease subgraph positional encoding for improved comorbidity prediction
Abstract Comorbidity, the co‐occurrence of multiple medical conditions in a single patient, profoundly impacts disease management and outcomes. Understanding these complex interconnections is crucial, especially in contexts where comorbidities exacerbate outcomes.
Xihan Qin, Li Liao
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Explainable Graph Spectral Clustering of text documents. [PDF]
Starosta B+5 more
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Generalized inverse of the Laplacian matrix and some applications
İvan Gutman, Wen Xiao
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Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
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A dynamic cobweb resistance network solution based on a structured zeroing neural network and its applications. [PDF]
Jiang X, Meng D, Zheng Y, Jiang Z.
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Abstract Purpose In MR electrical properties tomography (EPT), conductivity and permittivity are reconstructed from MR measurements. However, depending on the reconstruction method, reconstructed electrical properties (EPs) show large variability in vivo, reducing confidence in the reconstructed values for clinical application in practice.
Thierry G. Meerbothe+5 more
wiley +1 more source
Robust sparse smooth principal component analysis for face reconstruction and recognition. [PDF]
Wang J+5 more
europepmc +1 more source