Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Emil Saucan"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Melanoma response to immune-modulating therapy remains incompletely characterized at the molecular level. In this study, we assess melanoma immunotherapy response using a multi-scale network approach to identify gene modules with coordinated
Externí odkaz:
https://doaj.org/article/04e0b227a7aa4192af731a68187e16e2
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Protein interactions form a complex dynamic molecular system that shapes cell phenotype and function; in this regard, network analysis is a powerful tool for studying the dynamics of cellular processes. Current models of protein interaction
Externí odkaz:
https://doaj.org/article/f6ccfe866a4144c49d20ab6c611ddedd
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-25 (2022)
Abstract Centrality, in some sense, captures the extent to which a vertex controls the flow of information in a network. Here, we propose Local Detour Centrality as a novel centrality-based betweenness measure that captures the extent to which a vert
Externí odkaz:
https://doaj.org/article/ac6c6ccc307e4783bf44b68beceb218d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract While standard graph-theoretic measures have been widely used to characterize atypical resting-state functional connectivity in autism spectrum disorder (ASD), geometry-inspired network measures have not been applied. In this study, we apply
Externí odkaz:
https://doaj.org/article/69671225fc3244d5bb16ca6a3baf5bb0
Publikováno v:
Axioms, Vol 11, Iss 9, p 486 (2022)
Temporal information plays a central role in shaping the structure of a network. In this paper, we consider the impact of an object on network structure over time. More specifically, we use a novel object-based dynamic measure to reflect the extent t
Externí odkaz:
https://doaj.org/article/607749b0c1f94cc0be2664fbd4faa592
Publikováno v:
Symmetry, Vol 14, Iss 8, p 1737 (2022)
Building on a modified version of the Haantjes path-based curvature, this article offers a novel measure that considers the direction of a stream of associations in a semantic network and estimates the extent to which any single association attracts
Externí odkaz:
https://doaj.org/article/a7b07416433b42bd898fa13effb39e88
Autor:
Areejit Samal, Hirdesh K. Pharasi, Sarath Jyotsna Ramaia, Harish Kannan, Emil Saucan, Jürgen Jost, Anirban Chakraborti
Publikováno v:
Royal Society Open Science, Vol 8, Iss 2 (2021)
The complexity of financial markets arise from the strategic interactions among agents trading stocks, which manifest in the form of vibrant correlation patterns among stock prices. Over the past few decades, complex financial markets have often been
Externí odkaz:
https://doaj.org/article/d9872de09b9d487f9478f669ef5763c1
Publikováno v:
Symmetry, Vol 14, Iss 2, p 420 (2022)
In this contribution, we represent hypergraphs as partially ordered sets or posets, and provide a geometric framework based on posets to compute the Forman–Ricci curvature of vertices as well as hyperedges in hypergraphs. Specifically, we first pro
Externí odkaz:
https://doaj.org/article/3d57132aa2ab44e8bd1ff6703e2ca73e
Publikováno v:
Information Geometry.
We develop embedding kernels based on the Forman–Ricci curvature and intertwined Bochner–Laplacian and employ them for the detection of the coarse structure of networks, as well as for network visualization with applications to support-vector mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1c95faa930d4d0d7f64db06b6ea1adb
https://doi.org/10.1007/s41884-022-00095-5
https://doi.org/10.1007/s41884-022-00095-5
Autor:
David Xianfeng Gu, Emil Saucan
Publikováno v:
Classical and Discrete Differential Geometry ISBN: 9781003350576
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::019b489d2796297b5dab35e4a4886d1e
https://doi.org/10.1201/9781003350576-16
https://doi.org/10.1201/9781003350576-16
