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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

Zuoyu Chen, Yizeng Wang, Dongyang Li, Yuting Le, Yue Han, Lanning Jia, Caigu Yan, Zhigang Tian, Wenbin Song, Fuxin Li, Ke Zhao, Xianghui He
2022 Frontiers in Oncology  
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

Yin Song, Longbing Cao
2012 The 2012 International Joint Conference on Neural Networks (IJCNN)  
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

Eva Rutkowska, Colin Baker, Alan Nahum
2010 Physics in Medicine and Biology  
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

Han Nie, Cancan Luo, Kaili Liao, Jiasheng Xu, Xiaozhong Wang
2021 Frontiers in Cell and Developmental Biology  
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

K.J. Ray Liu, Peng Qiu, Z. Jane Wang
2006 Zenodo  
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

E Gonzalez, B Stephen, D Infield, J J Melero
2017 Journal of Physics, Conference Series  
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

Lan Shou, Wendy Wenyu Huang, Andrew Barszczyk, Si Jia Wu, Helen Han, Alex Waese-Perlman, Lulu Chen, Jing Wei, Hong Luo, Kang Lee, Claudia Loardi
2021 BioMed Research International  
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

Radek Němec
2015 Proceedings of the 2015 Federated Conference on Computer Science and Information Systems  
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

Yanshen Kuang, Ying Wang, Wanli Zhai, Xuning Wang, Bingdong Zhang, Maolin Xu, Shaohua Guo, Mu Ke, Baoqing Jia, Hongyi Liu
2020 Frontiers in Genetics  
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]

Krishnan Naidoo, Vukosi Marivate
2020 Lecture Notes in Computer Science  
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

Sukriye Tuysuz, Pervin Pekel
2019 European Journal of Business Management and Research  
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

Heeseok Lee
1995 Information Processing & Management  
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

H Lee
1995 Information Processing & Management  
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

Gang Hu, Ningjie Sun, Jiansong Jiang, Xiansheng Chen
2020 Cancer Cell International  
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

Lei Zhao, Jing Yang
2017 DEStech Transactions on Engineering and Technology Research  
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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