التفاصيل البيبلوغرافية
العنوان: |
MOESM1 of A qualitative transcriptional signature for the histological reclassification of lung squamous cell carcinomas and adenocarcinomas |
المؤلفون: |
Li, Xin, Gengen Shi, Qingsong Chu, Wenbin Jiang, Yixin Liu, Sainan Zhang, Zheyang Zhang, Zixin Wei, He, Fei, Guo, Zheng, Lishuang Qi |
بيانات النشر: |
figshare, 2019. |
سنة النشر: |
2019 |
الوصف: |
Additional file 1: Table S1. Clinical characteristics of patients treated with curative surgery resection only. Table S2. The top 50 subtype-opposite gene pairs. Table S3. The histological classification of samples classified by pathological assessment, signature and clustering in the GSE50081. Table S4. The histological classification of samples classified by pathological assessment, signature and cluster in the GSE58661. Figure S1. Kaplan-Meier curves of OS respectively for the SCC and ADC groups reclassified by the signature and original pathological assessment in the data integrated by 6 datasets. Figure S2. The consensus clustering of the samples based on top 1000 most variable genes in the GSE50081 dataset. Figure S3. The consensus clustering of the samples based on top 2000 most variable genes in the GSE50081 dataset. Figure S4. The consensus clustering of the samples based on top 3000 most variable genes in the GSE50081 dataset. Figure S5. The consensus clustering of the samples based on top 1000 most variable genes in the GSE58661 dataset for small biopsy specimens. Figure S6. The consensus clustering of the samples based on top 2000 most variable genes in the GSE58661 dataset for small biopsy specimens. Figure S7. The consensus clustering of the samples based on top 3000 most variable genes in the GSE58661 dataset for small biopsy specimens. Figure S8. The Kaplan-Meier curves of overall survival respectively for the ADC and SCC groups of patients treated with curative surgery resection only. |
DOI: |
10.6084/m9.figshare.10729679 |
URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79200960a57f63b86e44a3990c783b2c |
Rights: |
OPEN |
رقم الانضمام: |
edsair.doi.dedup.....79200960a57f63b86e44a3990c783b2c |
قاعدة البيانات: |
OpenAIRE |