Biological network descriptors
WebSep 1, 2002 · Elliptic Fourier descriptors (EFDs), proposed by Kuhl and Giardina (1982), can delineate any type of shape with a closed two-dimensional contour and have been effectively applied to the evaluation of various biological shapes in animals (Bierbaum and Ferson 1986; Diaz et al. 1989; Ferson et al. 1985; Rohlf and Archie 1984) and plants … WebApr 18, 2024 · The use of networks to analyze biological data, such as large gene or protein expression datasets, is on the rise. Often, there is an interest of identifying modules (or communities) of biological molecules that may be associated to known functions. This functional modularity analyses usually revolve around a workflow that combines 1) a …
Biological network descriptors
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WebSep 23, 2024 · We achieved accuracies of up to 70%, and the inference of biological network structures using network tomography reached up to 65% of accuracy. Objective classification of biological networks can be achieved with cascaded machine learning methods using neuron communication data. SVM methods seem to perform better … WebFeb 3, 2024 · Apart from the full set of network descriptors, a subgroup of the network descriptors, which have been extensively used in studying biological networks [13], …
WebOct 7, 2012 · Highlights New network-based method to identify highly predictive biomarker candidates for disease using topological descriptors applied to the vertices. Comparison of the predictive ability in terms of sensitivity and specificity of different topological descriptors. Identification of highly predictive biomarker candidates (F-score > 0.85, accuracy > 85 %) … WebThe interpretation is that biological functions are perhaps better mapped to the gene neighborhoods in the early colon cancer network—possibly indicating a more coordinated response to these microorganisms. We identified only two biological processes appearing both in the early and late networks.
WebNational Center for Biotechnology Information WebFeb 1, 2024 · In a remarkable attempt to shed light on the biological and biophysical information captured by bidirectional encoder representations from transformers -based descriptors, Vig et al. [47∗] thoroughly analyzed the inner layers of the deep neural network and found that they uncovered relevant associations in the 3D space, such as …
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Webreported network descriptors in PROFEAT web server, for describing the topological, connectivity and complexity characteristics of ... extensive study of biological [ 1], disease [2]andpharmaco ... eastern hognose snake photosWebMar 4, 2024 · cations, some network models may appear as adequate approximations to biological processes. However, when the output characterization is projected deeper … eastern hognose snake imagesWeb2 days ago · Not all biological networks are scale-free, and research into the most representative descriptors of probability distributions of nodes and degrees in complex networks is ongoing 15,16,17,18 ... cuffy\u0027s cape cod sweatshirtsWebThe first step in network-based analysis of complex biological data is inferring valid and robust network representations of the data. A plethora of packages for this task are … eastern himalayas and southwestern chinaWebApr 7, 2024 · The model leverages multi-omics data obtained from diverse tumor tissue sources and molecular descriptors that encode drug properties. ... Our most predictive features included biological function ... cuffy the movieWebAug 18, 2024 · 1. Introduction. All organisms are subjected to biological evolution. Yet, it is argued, much of evolution is in fact coevolution. That is, the reciprocal evolutionary adaptation between interacting species mediated by natural selection [].From shaping remarkable trait complementarity between interacting partners [2–4] to driving the major … eastern holdingsWebSep 15, 2024 · Extensive experiments on five benchmark biological network datasets on graph classification task show that the proposed model Biogc outperforms the state-of … eastern hognose snake range