Causal network model
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There has been a growing appreciation recently that mutagenic processes can be studied through the lenses of mutational signatures, which represent characteristic mutation patterns attributed to individual mutagens.
15p vicwell 29-02-2024 7 1 Download
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Continued part 1, part 2 of ebook "Computing handbook: Computer science and software engineering" provides readers with contents including: natural language processing; understanding spoken language; neural networks; cognitive modeling; graphical models for probabilistic and causal reasoning; network organization and topologies; routing protocols; access control; data compression; localization in underwater acoustic sensor networks; semantic web; thread management for shared-memory multiprocessors;...
1154p hanlinhchi 29-08-2023 6 4 Download
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Increasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes.
7p vihagrid 30-01-2023 7 3 Download
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Expression quantitative trait loci (eQTL) mapping is a widely used tool to study the genetics of gene expression. Confounding factors and the burden of multiple testing limit the ability to map distal trans eQTLs, which is important to understand downstream genetic effects on genes and pathways.
13p viaristotle 29-01-2022 12 0 Download
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In the ¯rst phase, the suppression of the existing network connections as a consequence of the acute stress modeled and in the second phase relaxing the suppression by giving some time and starting a new learning of the decision making in accordance to presence of stress starts again.
20p redemption 20-12-2021 6 0 Download
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Many genome-wide association studies have detected genomic regions associated with traits, yet understanding the functional causes of association often remains elusive. Utilizing systems approaches and focusing on intermediate molecular phenotypes might facilitate biologic understanding.
16p visilicon2711 20-08-2021 9 1 Download
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High-throughput measurement technologies such as microarrays provide complex datasets reflecting mechanisms perturbed in an experiment, typically a treatment vs. control design. Analysis of these information rich data can be guided based on a priori knowledge, such as networks or set of related proteins or genes.
24p vikentucky2711 26-11-2020 5 0 Download
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Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets.
18p vikentucky2711 24-11-2020 12 2 Download
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Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good model of GRN.
28p vioklahoma2711 19-11-2020 13 2 Download
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The problem of learning causal influences from data has recently attracted much attention. Standard statistical methods can have difficulty learning discrete causes, which interacting to affect a target, because the assumptions in these methods often do not model discrete causal relationships well.
14p vioklahoma2711 19-11-2020 13 2 Download
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This article investigates the causal connection between social capital (SC), knowledge transfer, innovation and firm performance. Based on existing literature on social capital, we develop a research model showing that three dimensions of social capital, including network ties, trust and shared visions, have positive relationships with company performance via two mediators, namely knowledge transfer and innovation.
12p tozontozon 25-04-2020 13 1 Download
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Usually dynamic properties of models can be analysed by conducting simulation experiments. But sometimes, as a kind of prediction properties can also be found by calculations in a mathematical manner, without performing simulations.
15p vititan2711 13-08-2019 13 0 Download
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Continued from part 1, part 2 of the document Fault diagnosis with computational intelligence present the content: artificial neural networks in fault diagnosis, a gas Turbine scenario; two-stage neural networks based classifier system for fault diagnosis; soft computing models for fault diagnosis of conductive flow systems; fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction; fuzzy neural networks applied to fault diagnosis; causal models for distributed fault diagnosis of complex systems.
182p lequangvinh1608 05-08-2019 15 3 Download
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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Inferring causal phenotype networks using structural equation models
13p toshiba18 08-11-2011 52 3 Download