Application of Bayesian network modeling to pathology informatics
Sign Up to like & getrecommendations! Published in 2019 at "Diagnostic Cytopathology"
DOI: 10.1002/dc.23993
Abstract: In the era of extensive data collection, there is a growing need for a large scale data analysis with tools that can handle many variables in one modeling framework. In this article, we present our… read more here.
Keywords: modeling pathology; network modeling; bayesian network; pathology informatics ... See more keywords
Boolean network modeling in systems pharmacology
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Pharmacokinetics and Pharmacodynamics"
DOI: 10.1007/s10928-017-9567-4
Abstract: Quantitative systems pharmacology (QSP) is an emerging discipline that aims to discover how drugs modulate the dynamics of biological components in molecular and cellular networks and the impact of those perturbations on human pathophysiology. The… read more here.
Keywords: network modeling; network; network models; boolean network ... See more keywords
Improved 1-d thermohydraulic network modeling for cryogenic circuits coupled to CICC models of fusion magnet system
Sign Up to like & getrecommendations! Published in 2019 at "Cryogenics"
DOI: 10.1016/j.cryogenics.2018.10.013
Abstract: Abstract On the purpose to improve the performance of SuperMagnet model ( http://www.htess.com/cryosoft.htm ), coupled 1-d flows at the multi-way branch is carefully explored in the context of hyperbolic PDEs. Comparing with the generic method… read more here.
Keywords: system; cryogenic circuits; modeling cryogenic; network modeling ... See more keywords
Network modeling in psychopathology: Hopes and challenges
Sign Up to like & getrecommendations! Published in 2020 at "L'Encephale"
DOI: 10.1016/j.encep.2020.01.001
Abstract: Objective: The lack of ressources and coordination to face the epidemic of coronavirus raises concerns for the health of patients with mental disorders in a country where we keep in memory the dramatic experience of… read more here.
Keywords: care; mental disorders; network modeling; mental health ... See more keywords
Pore network modeling of fibrous porous media of uniform and gradient porosity
Sign Up to like & getrecommendations! Published in 2019 at "Powder Technology"
DOI: 10.1016/j.powtec.2018.11.022
Abstract: Abstract Two phase flow phenomena in fibrous media is studied using pore network modeling and visualized in 3D space. To explore the effect of network structure on flow property, virtual 3D fibrous mat with uniform… read more here.
Keywords: network modeling; gradient porosity; pore network; network ... See more keywords
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Sign Up to like & getrecommendations! Published in 2025 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.4c01981
Abstract: Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data… read more here.
Keywords: molecular dynamics; bayesian network; software; network ... See more keywords
Regularized Cross-Sectional Network Modeling with Missing Data: A Comparison of Methods.
Sign Up to like & getrecommendations! Published in 2025 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2025.2551373
Abstract: Abstract Many applications of network modeling involve cross-sectional data of psychological variables (e.g., symptoms for psychological disorders), and analyses are often conducted using a regularized Gaussian graphical model (GGM) employing a lasso, also known as… read more here.
Keywords: missing data; cross sectional; network; regularized cross ... See more keywords
Network modeling and analysis of MAP Kinase pathway to assess role of genes in tumor development.
Sign Up to like & getrecommendations! Published in 2025 at "Physical biology"
DOI: 10.1088/1478-3975/ae25af
Abstract: Despite decades of research, cancer remains one of the biggest health challenges. Due to the intricate interplay between multiple factors and different cancer types, it is still impossible to pinpoint a common cause for all… read more here.
Keywords: cancer; role; kinase pathway; tumor ... See more keywords
Neural Network Modeling Attacks on Arbiter-PUF-Based Designs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3189533
Abstract: By revisiting, improving, and extending recent neural-network based modeling attacks on XOR Arbiter PUFs from the literature, we show that XOR Arbiter PUFs, (XOR) Feed-Forward Arbiter PUFs, and Interpose PUFs can be attacked faster, up… read more here.
Keywords: neural network; modeling attacks; network modeling; arbiter pufs ... See more keywords
Variational Random Function Model for Network Modeling
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2837667
Abstract: Link prediction is a fundamental problem in network modeling. A family of link prediction approaches is to treat network data as an exchangeable array whose entries can be explained by random functions (e.g., block models… read more here.
Keywords: network modeling; random function; function model; variational random ... See more keywords
Downstream Network Modeling With Generalized Distribution Networks for Harmonic Studies
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Delivery"
DOI: 10.1109/tpwrd.2020.2970228
Abstract: The harmonic impedance of the grid needs to be calculated for the harmonic assessment of new connections in the high voltage (HV) network. For these studies, one of the elements is the modeling of the… read more here.
Keywords: distribution networks; network modeling; model; distribution ... See more keywords