Search alternatives:
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
neck selection » block selection (Expand Search), incl selection (Expand Search), gene selection (Expand Search)
multiple neck » multiple cell (Expand Search), multiple co (Expand Search), multiple bulk (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
neck selection » block selection (Expand Search), incl selection (Expand Search), gene selection (Expand Search)
multiple neck » multiple cell (Expand Search), multiple co (Expand Search), multiple bulk (Expand Search)
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Table_1_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.DOCX
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_3_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_7_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_5_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_4_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_9_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_6_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_10_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_2_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Data_Sheet_8_Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.PDF
Published 2021“…To avoid overfitting and improve clinical practicability, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were performed to construct a prognostic risk model. …”
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Image1_A Neutrophil Extracellular Traps Signature Predicts the Clinical Outcomes and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.JPEG
Published 2022“…To improve the clinical practicability and avoid overfitting, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were used to construct a prognostic risk model. …”
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Image2_A Neutrophil Extracellular Traps Signature Predicts the Clinical Outcomes and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.JPEG
Published 2022“…To improve the clinical practicability and avoid overfitting, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were used to construct a prognostic risk model. …”
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Direct estimator used in Classifier 1.
Published 2023“…These results were attributed to the data collection methodology (number of subjects and observations, multiple IMUs, use of common working dog breeds) and novel machine learning techniques (advanced feature extraction, feature selection and modelling arrangements) employed. …”
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Categories of behaviour analysed.
Published 2023“…These results were attributed to the data collection methodology (number of subjects and observations, multiple IMUs, use of common working dog breeds) and novel machine learning techniques (advanced feature extraction, feature selection and modelling arrangements) employed. …”
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The possible correlations between the list genes.
Published 2025“…</p><p>Results</p><p>Four AR signature genes (<i>MRPS30</i>, <i>CLPX</i>, <i>MRPL13</i>, and <i>MRPL53</i>) were selected by the MCC, EPC, BottleNeck, and Closeness algorithms. …”
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The graphical abstract of this study.
Published 2025“…</p><p>Results</p><p>Four AR signature genes (<i>MRPS30</i>, <i>CLPX</i>, <i>MRPL13</i>, and <i>MRPL53</i>) were selected by the MCC, EPC, BottleNeck, and Closeness algorithms. …”
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DataSheet_1_mTOR/EGFR/iNOS/MAP2K1/FGFR/TGFB1 Are Druggable Candidates for N-(2,4-Difluorophenyl)-2′,4′-Difluoro-4-Hydroxybiphenyl-3-Carboxamide (NSC765598), With Consequent Antican...
Published 2021“…The targets were enriched in cancer-associated pathways, were overexpressed and were of prognostic relevance in multiple cancers. Among the identified targets, genetic alterations occurred most frequently in EGFR (7%), particularly in glioblastoma, esophageal squamous cell cancer, head and neck squamous cell cancer, and non–small-cell lung cancer, and were associated with poor prognoses and survival of patients, while other targets were less frequently altered. …”