Výsledky vyhledávání - "TPR, True Positive Rate"

Divergence Based Feature Selection for Pattern Recognizing of the Performance of Intrusion Detection in Mobile Communications Merged with the Computer Communication Networks

Autor: N. Chitra, Safinaz. S, K. Bhanu Rekha

Publikováno v: International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 04 (2023); pp. 75-88

The Feature Selection concept is the procedure where in the data is simplified removing the irrelevant features. Divergence method is another strategy of method where in the relation among the attributes and class is measured to understand their cont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f378ca5ea5de3d4883a5daff39dde63a
https://doi.org/10.3991/ijim.v17i04.37733

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Akademický článek

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Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer

Autor: Nosayba Al-Azzam, Ibrahem Shatnawi

Publikováno v: Annals of Medicine and Surgery

Background Breast cancer disease is the most common cancer in US women and the second cause of cancer death among women. Objectives To compare and evaluate the performance and accuracy of the key supervised and semi-supervised machine learning algori

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be49b4fe3f3424a9c1a0ff86cada706c
https://doi.org/10.1016/j.amsu.2020.12.043

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Detecting differentially expressed circular RNAs from multiple quantification methods using a generalized linear mixed model

Autor: Alessia Buratin, Chiara Romualdi, Stefania Bortoluzzi, Enrico Gaffo

Publikováno v: Computational and structural biotechnology journal. 20

Finding differentially expressed circular RNAs (circRNAs) is instrumental to understanding the molecular basis of phenotypic variation between conditions linked to circRNA-involving mechanisms. To date, several methods have been developed to identify

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f9a678fc4e04b66bd4e5ae7a095bac
https://pubmed.ncbi.nlm.nih.gov/35664231

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Akademický článek

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Deep graph embedding for prioritizing synergistic anticancer drug combinations

Autor: Pingzhao Hu, Peiran Jiang, Ted M. Lakowski, Zhenyuan Fu, Shujun Huang, Zexuan Sun

Publikováno v: Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 427-438 (2020)
Computational and Structural Biotechnology Journal

Graphical abstract
Drug combinations are frequently used for the treatment of cancer patients in order to increase efficacy, decrease adverse side effects, or overcome drug resistance. Given the enormous number of drug combinations, it is cost-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7c0090da5ca0e0d96b490baf96f5081
http://www.sciencedirect.com/science/article/pii/S200103701930368X

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Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking

Autor: Jeffrey L. Mendenhall, Bian Li, Jens Meiler

Publikováno v: Computational and Structural Biotechnology Journal, Vol 17, Iss, Pp 699-711 (2019)
Computational and Structural Biotechnology Journal

Protein-protein interaction (PPI) is an essential mechanism by which proteins perform their biological functions. For globular proteins, the molecular characteristics of such interactions have been well analyzed, and many computational tools are avai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e3823f076e75032c853f75bb7125650
http://www.sciencedirect.com/science/article/pii/S200103701930039X

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Pulmonary thromboembolic disease in COVID-19 patients on CT pulmonary angiography – Prevalence, pattern of disease and relationship to D-dimer

Autor: A. Rajai, S.Y. Liong, R. Patel, N. Gerova, V. Godhamgaonkar, M.W.X. Ooi

Publikováno v: European Journal of Radiology

Highlights • Prevalence of pulmonary thromboembolic disease (PTE) is 38% in COVID-19 patients who underwent CTPA. Patients with more severe COVID-19 changes are more likely to have PTE. • Majority of PTE is observed within smaller pulmonary vesse

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https://doi.org/10.1016/j.ejrad.2020.109336

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Evaluating meteorological data from weather stations, and from satellites and global models for a multi-site epidemiological study

Autor: Josh M, Colston, Tahmeed, Ahmed, Cloupas, Mahopo, Gagandeep, Kang, Margaret, Kosek, Francisco, de Sousa Junior, Prakash Sunder, Shrestha, Erling, Svensen, Ali, Turab, Benjamin, Zaitchik

Publikováno v: Environmental Research

Background Longitudinal and time series analyses are needed to characterize the associations between hydrometeorological parameters and health outcomes. Earth Observation (EO) climate data products derived from satellites and global model-based reana

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https://pubmed.ncbi.nlm.nih.gov/29684739

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