官方服务：
资源简介：
Breast Cancer Patient Data from TCGA.
应用场景：
创建时间：
2016-06-21
相关数据集
Table_1_Characterization of Frequently Mutated Cancer Genes and Tumor Mutation Burden in Chinese Breast Cancer.pdf
ObjectivesVarious genomic alterations and genomic signatures, including ERBB2 amplification, mutations in PIK3CA, AKT1, and ESR1, and tumor mutational burden (TMB), have become important biomarkers fo
NIAID Data Ecosystem120
Data_Sheet_2_A novel thinking: DDR axis refines the classification of ccRCC with distinctive prognosis, multi omics landscape and management strategy.CSV
BackgroundDNA damage response and repair (DDR) related signatures play an important role in maintaining genome stability and other biological processes. It also affects the occurrence, development, an
NIAID Data Ecosystem80
EGAS00001000207-sc-20120125 - samples
Breast Cancer Exome ResequencingEGA dataset EGAD00001000093
NIAID Data Ecosystem30
Supplementary File 2 from Genome-Wide Functional Synergy between Amplified and Mutated Genes in Human Breast Cancer
Supplementary File 2 from Genome-Wide Functional Synergy between Amplified and Mutated Genes in Human Breast Cancer
NIAID Data Ecosystem80
Gene expression-signatures for non-small cell lung cancer patients with different EGFR muational status.
To identify a plasma miRNA panel that could help to separate NSCLC patients with EGFR sensitive mutations and wild-type EGFR, plasma samples of 3 EGFR19DEL, 3 EGFRp.L858R, and 3 EGFRWT patients with N
NIAID Data Ecosystem40
