Supplementary Data files S1 a_f from Glioblastoma TCGA Mesenchymal and IGS 23 Tumors are Identifiable by IHC and have an Immune-phenotype Indicating a Potential Benefit from Immunotherapy

التفاصيل البيبلوغرافية
العنوان: Supplementary Data files S1 a_f from Glioblastoma TCGA Mesenchymal and IGS 23 Tumors are Identifiable by IHC and have an Immune-phenotype Indicating a Potential Benefit from Immunotherapy
المؤلفون: Carmen Balana, Nuria de la Iglesia, Iban Aldecoa, Noemí Vidal, Rafael Fuentes, Jordi Craven-Bartle, Ainhoa Hernandez, Silvia Bagué, Anna Esteve, Silvia Menendez, Beatriz Bellosillo, Julie Marie Blanc, Montserrat Arumí, Ivan Archilla, Ana M Muñoz-Marmol, Carlos Mesia, Oscar Gallego, Josep Puig, Jaume Capellades, Teresa Ribalta, Sonia Del Barco, Raquel Lopez-Martos, Marta Gut, Mar Mallo, Maria Martinez-García, Oriol Arpí, Estela Pineda, Anna Esteve-Codina, Francesc Alameda, Cristina Carrato
بيانات النشر: American Association for Cancer Research (AACR), 2023.
سنة النشر: 2023
الوصف: Excel spreadsheets showing: (S1a) the differential expression analysis between mesenchymal vs proneural tumors; (S1b) the differential expression analysis between classical vs mesenchymal tumors; (S1c) the differential expression analysis between classical vs proneural tumors; (S1d) classification of tumor samples based on the RNA-Seq results into the three TCGA molecular subtypes (according to the GlioVis algorithms KNN, SVM, and ssGSEA) and classification according to the IGS clusters; (S1e) immunohistochemical results of samples classified in the three TCGA molecular subtypes (according to the GlioVis algorithms KNN, SVM, and ssGSEA) and IGS clusters; and (S1f) results of the gene fusion analysis in the tumor samples, the molecular subtype of the tumor (according to the GlioVis algorithms KNN, SVM, and ssGSEA), and the tumor IGS clusters
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f7e9748f6039193ea8b52af1a60d374
https://doi.org/10.1158/1078-0432.22477068.v1
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....1f7e9748f6039193ea8b52af1a60d374
قاعدة البيانات: OpenAIRE