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A unified approach to protein domain parsing with inter-residue distance matrix. [PDF]
Bioinformatics, 2023 Motivation It is fundamental to cut multi-domain proteins into individual domains, for precise domain-based structural and functional studies. In the past, sequence-based and structure-based domain parsing was carried out independently with different ...
Zhu K, Su H, Peng Z, Yang J.
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Entropy measures of distance matrix [PDF]
Discrete Mathematics Letters, 2022 Bonchev and Trinajstic defined two distance based entropy measures to measure the molecular branching of molecular graphs in 1977 [Information theory, distance matrix, and molecular branching, J. Chem. Phys., 38 (1977), 4517–4533]. In this paper we use these entropy measures which are based on distance matrices of graphs.
Bünyamin Şahin, Abdulgani Şahin
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Every nonsingular spherical Euclidean Distance Matrix is a resistance distance matrix
Linear Algebra and its Applications, 2022 Peer ...
Ernesto Estrada
semanticscholar +4 more sources
Jurnal Teknologi dan Sistem Komputer, 2020 Keberadaan outlier pada dataset dapat menyebabkan rendahnya hasil akurasi pada proses klasifikasi. Outlier pada dataset dapat dihilangkan pada tahapan prapemrosesan algoritme klasifikasi.
Sugriyono Sugriyono, Maria Ulfah Siregar
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Is Distance Matrix Enough for Geometric Deep Learning? [PDF]
Neural Information Processing Systems, 2023 Graph Neural Networks (GNNs) are often used for tasks involving the 3D geometry of a given graph, such as molecular dynamics simulation. While incorporating Euclidean distance into Message Passing Neural Networks (referred to as Vanilla DisGNN) is a ...
Zian Li +3 more
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Spectral properties of the exponential distance matrix [PDF]
Involve. A Journal of Mathematics, 2019 Given a graph $G$, the exponential distance matrix is defined entry-wise by letting the $(u,v)$-entry be $q^{\text{dist}(u,v)}$, where $\text{dist}(u,v)$ is the distance between the vertices $u$ and $v$ with the convention that if vertices are in ...
Steve Butler +4 more
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Eigenvalues of the resistance-distance matrix of complete multipartite graphs. [PDF]
J Inequal Appl, 2017 Let G=(V,E)$G=(V, E)$ be a simple graph. The resistance distance between i,j∈V$i,j\in V$, denoted by rij$r_{ij}$, is defined as the net effective resistance between nodes i and j in the corresponding electrical network constructed from G by replacing ...
Das KC, Yang Y.
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Restoring the Duality between Principal Components of a Distance Matrix and Linear Combinations of Predictors, with Application to Studies of the Microbiome. [PDF]
PLoS One, 2017 Appreciation of the importance of the microbiome is increasing, as sequencing technology has made it possible to ascertain the microbial content of a variety of samples.
Satten GA +3 more
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An improved distance matrix computation algorithm for multicore clusters. [PDF]
Biomed Res Int, 2014 Distance matrix has diverse usage in different research areas. Its computation is typically an essential task in most bioinformatics applications, especially in multiple sequence alignment. The gigantic explosion of biological sequence databases leads to
Al-Neama MW, Reda NM, Ghaleb FF.
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The generalized distance matrix
Linear Algebra and its Applications, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shu-Yu Cui, Jing-Xiang He, Gui-xian Tian
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