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Single-Cell RNA Sequencing Revealed a 3-Gene Panel Predicted the Diagnosis and Prognosis of Thyroid Papillary Carcinoma and Associated With Tumor Immune Microenvironment
2022
Frontiers in Oncology
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The potential regulatory networks of DEGs related to prognosis were analyzed by multi-omics data in the THCA. ...
The area under curve (AUC) of the diagnostic model based on 3-gene in the validation of our RNA-seq was 1. ...
We thank the TCGA for the public data provided by The Pan-Cancer Atlas. We acknowledge Dr. ...
doi:10.3389/fonc.2022.862313
pmid:35359404
pmcid:PMC8962641
fatcat:qjnsc7m45regnh5benasigvxri
Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets
2012
The 2012 International Joint Conference on Neural Networks (IJCNN)
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However, it requires aggregation of the behavioral data to cater for the CHMM modeling, which may overlook the couplings within the aggregated behaviors to some extent. ...
Recently, the coupled hidden Markov model (CHMM)-based coupled behavior analysis has been proposed to consider the coupled relationships in a hidden state space. ...
We appreciate the comments and help provided by Dr. Yiling Zeng and Dr. Xiaodong Yue. ...
doi:10.1109/ijcnn.2012.6252762
dblp:conf/ijcnn/SongC12
fatcat:2ub4lh2kofcqtcnqio7zjf5ezm
Mechanistic simulation of normal-tissue damage in radiotherapy-–implications for dose–volume analyses
2010
Physics in Medicine and Biology
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In this thesis NTCP models and methods for analysing clinical data are tested on data simulated by a 3D mechanistic model of normal-tissue damage. ...
There is great potential to develop the model further to include e.g. non-local effects of irradiation, time effects, and several FSU populations, related to different endpoints, coexisting in one organ ...
In this thesis NTCP models and methods for analysing clinical data are tested on data simulated by a 3D mechanistic model of normal-tissue damage. ...
doi:10.1088/0031-9155/55/8/001
pmid:20305336
fatcat:ocg2uen5hreexnzazx62iz2sry
Seven Glycolysis-Related Genes Predict the Prognosis of Patients With Pancreatic Cancer
2021
Frontiers in Cell and Developmental Biology
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The model was further evaluated using data from the validation group. Mutations in the model genes were subsequently identified using the cBioPortal. ...
prognosis of PDAC patients.MethodologyPancreatic ductal carcinoma (PDAC) data and that of normal individuals were downloaded from the TCGA database and Genotype-Tissue Expression database, respectively ...
GRGs closely related to survival were further analyzed using the Cox risk regression analysis to screen out the most significant genes for construction of a GRGs model. ...
doi:10.3389/fcell.2021.647106
pmid:33912561
pmcid:PMC8074862
fatcat:4x4acefyezaqpc4smpkggyirbi
Dependence Model And Network For Biomarker Identification And Cancer Classification
2006
Zenodo
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Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006 ...
To further explore the EDM concept, we apply it on proteomic data and then present the idea of building dependence networks based on MS data. ...
All analysis are based on the 50 selected peak features. The ensemble dependence model is applied to classify cancer and normal data through leave-one-out crossvalidation [16] . ...
doi:10.5281/zenodo.52640
fatcat:lqduchoi4radtck7feruvwnvhi
On the use of high-frequency SCADA data for improved wind turbine performance monitoring
2017
Journal of Physics, Conference Series
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The benefits of the approach are demonstrated through the comparison between state-of-the-art deterministic power curve modelling techniques and the suggested probabilistic model. ...
SCADA-based condition monitoring of wind turbines facilitates the move from costly corrective repairs towards more proactive maintenance strategies. ...
The authors would like to thank Enel Green Power for their cooperation and supply of the datasets. ...
doi:10.1088/1742-6596/926/1/012009
fatcat:uybowifvkbfrzciw3rowwg3xyi
Blood Biomarkers Predict Cardiac Workload Using Machine Learning
2021
BioMed Research International
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We further determined the predictive importance of each feature in the blood panel. Results. ...
We used the XGBoost machine learning algorithm to train a tree-based model and then assessed its accuracy on an independent portion of the dataset and then compared its performance against a standard linear ...
Acknowledgments We would like to acknowledge support from the Zhejiang Province International Collaborative Project (#LGJ19C090001). ...
doi:10.1155/2021/6172815
pmid:34159195
pmcid:PMC8187049
fatcat:aj4k7km5xvgdvfm2ra7gdq2b2a
Assessment of query execution performance using selected Business Intelligence tools and experimental agile oriented data modeling approach
2015
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems
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The approach is based on the Anchor Data Modeling technique and is applied on a multidimensional data model. ...
The paper deals with the assessment of an experimental data modeling approach which is intended to support the agile oriented data modeling. ...
However, the results in previous related publication [15] , concerning one of the first applications of the ADM in the multidimensional data modeling field, indicated that the normalization of the fact ...
doi:10.15439/2015f267
dblp:conf/fedcsis/Nemec15
fatcat:gv2yqkugtnda5i5diwoqenznee
Genome-Wide Analysis of Methylation-Driven Genes and Identification of an Eight-Gene Panel for Prognosis Prediction in Breast Cancer
2020
Frontiers in Genetics
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Univariant Cox regression was used to identify survival-related genes among the methylation-driven genes. Robust likelihood-based survival modeling was applied to define the prognosis markers. ...
An independent data set (GSE72308) was used for further validation of our risk score system. A total of 879 DNA methylation-driven genes were identified from 765 BC patients. ...
ACKNOWLEDGMENTS The authors thank Dian Sun, Ph.D. from Peking University Health Science Center for editing the manuscript. ...
doi:10.3389/fgene.2020.00301
pmid:32373154
pmcid:PMC7186397
fatcat:5c2k3razrjfffapd23c4cs6jsq
Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks
[chapter]
2020
Lecture Notes in Computer Science
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The anomalous healthcare providers were further analysed through the application of classification models with the logistic regression and extreme gradient boosting models showing good performance. ...
The GANs anomaly detection (GAN-AD) model was applied on two different healthcare provider data sets. ...
Further to this, research like [2, 3] also highlighted challenges like availability of data relating to healthcare providers, even if it is available there is not enough data or the data is not reliable ...
doi:10.1007/978-3-030-44999-5_35
fatcat:qxuczgunonaazh7a6ei6saifze
A Comparison of Stochastic Claims Reserving Methods
2019
European Journal of Business Management and Research
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The model based on Normal distribution produces the worst results, whatever the dataset. ...
The aim of this article is to determine reserves by using different stochastic models: 1) distribution-free model (Mack's model), 2) probability distribution based models (Normal, Poisson, Gamma and Inverse ...
These graphs represent standardized residuals plots, of the data 1, 2 and 3, related to bootstrap method based on ODP, Gamma and Normal probability distribution with GLM method. ...
doi:10.24018/ejbmr.2019.4.4.43
fatcat:gafe7ghg6jebdiybxjvxoqxoma
Justifying database normalization: a cost/benefit model
1995
Information Processing & Management
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During this data analysis phase, the data model is further refined so that it obeys certain rules of good behavior. Normalization is the process of grouping data into such well refined structures. ...
During the information systems development process within an organization, data resource is typically analyzed in the form of a data model. ...
Acknowledgements-This work was supported in part by the Summer Fellowship Grant of the University of Nebraska at Omaha. The author acknowledges the constructive comments made by Dr. ...
doi:10.1016/0306-4573(95)80006-f
fatcat:j7dxnjsx3naujnjtn3z2qjeo7q
Justifying database normalization: a cost/benefit model
1995
Information Processing & Management
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The file type is application/pdf.
During this data analysis phase, the data model is further refined so that it obeys certain rules of good behavior. Normalization is the process of grouping data into such well refined structures. ...
During the information systems development process within an organization, data resource is typically analyzed in the form of a data model. ...
Acknowledgements-This work was supported in part by the Summer Fellowship Grant of the University of Nebraska at Omaha. The author acknowledges the constructive comments made by Dr. ...
doi:10.1016/0306-4573(94)e0011-p
fatcat:6zjork24gnbdnckutudp32ska4
Establishment of a 5-gene risk model related to regulatory T cells for predicting gastric cancer prognosis
2020
Cancer Cell International
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In this study, we collected the mRNA data of GC from The Cancer Genome Atlas (TCGA) database and studied the immune cells that were closely related to the prognosis of GC. ...
These results proved that the 5-gene signature-based risk score could be used to predict the survival of GC patients, and these 5 genes were closely related to Tregs. ...
Based on these genes, the feature genes most related to the risk of GC were screened and a multivariate Cox regression model was constructed. ...
doi:10.1186/s12935-020-01502-6
pmid:32908454
pmcid:PMC7470613
fatcat:2h7ht72cvjay3egbbphpy3xm2a
Study on the North China Rural Water Supply Project O&M Cost Standard Rating
2017
DEStech Transactions on Engineering and Technology Research
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On the basis of survey data, multiple regression analysis means is employed to analyze relations between O&M cost and operation cost, annual actual output of water supply, personnel cost, electric tariff ...
For the purpose of further regulating the set-up standard of rural water supply project operation and maintenance cost, O&M cost accounting method should be identified; with North China plain area as the ...
On the basis of survey data, O&M cost calculating methods are described and O&M calculating models are established by analyzing relations between O&M cost and operation cost, personnel cost, electric tariff ...
doi:10.12783/dtetr/iceta2016/7131
fatcat:kgttjhb5bzhytjxk5zr2robmai
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