Clinical Validity of a Prognostic Gene Expression Cluster-Based Model in Human Papillomavirus-Positive Oropharyngeal Carcinoma

Autor: Laura D. Locati, Thomas K. Hoffmann, Ruud H. Brakenhoff, Andrea Carenzo, Tito Poli, Laura Ardighieri, M.S. Serafini, Lisa Licitra, C. René Leemans, Pasquale Quattrone, Mari F.C.M. van den Hout, Silvana Canevari, Kathrin Scheckenbach, Frank J. P. Hoebers, Irene Nauta, Loris De Cecco, Stefano Cavalieri

Publikováno v: JCO Precision Oncology, 5. American Society of Clinical Oncology
Cavalieri, S, Serafini, M S, Carenzo, A, Canevari, S, Brakenhoff, R H, Leemans, C R, Nauta, I H, Hoebers, F, van den Hout, M F C M, Scheckenbach, K, Hoffmann, T K, Ardighieri, L, Poli, T, Quattrone, P, Locati, L D, Licitra, L & De Cecco, L 2021, ' Clinical Validity of a Prognostic Gene Expression Cluster-Based Model in Human Papillomavirus-Positive Oropharyngeal Carcinoma ', JCO Precision Oncology, vol. 5 . https://doi.org/10.1200/PO.21.00094
JCO Precision Oncology, 5, 1666-1676. American Society of Clinical Oncology
JCO Precision Oncology

PURPOSE Under common therapeutic regimens, the prognosis of human papillomavirus (HPV)–positive squamous oropharyngeal carcinomas (OPCs) is more favorable than HPV-negative OPCs. However, the prognosis of some tumors is dismal, and validated progno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aacac7258f675701fce47cc22eb3dc2d
https://doi.org/10.1200/po.21.00094

GO-based Gene Expression Cluster Validation

Autor: Thanh Le

Publikováno v: 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Fuzzy C-Means (FCM) algorithm has been widely used in cluster analysis of gene expression data. It can converge rapidly and provide more information regarding relationships within the data thanks to the usage of fuzzy sets to represent the degrees of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82d49d8a80da7e57f49332774149aa69
https://doi.org/10.1109/csci.2015.34

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Random projections for assessing gene expression cluster stability

Autor: Giorgio Valentini, Alberto Bertoni

Publikováno v: Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Clustering analysis of gene expression is characterized by the very high dimensionality and low cardinality of the data, and two important related topics are the validation and the estimate of the number of the obtained clusters. In this paper we foc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96c94f42939d9c74c0c76c176f7cf5af
https://doi.org/10.1109/ijcnn.2005.1555821

GO-based Gene Expression Cluster Validation.

Autor: Le, Thanh

Publikováno v: 2015 International Conference on Computational Science & Computational Intelligence (CSCI); 2015, p553-558, 6p