Due to the lower incidence of T-LBL and difficulties in obtaining diagnostic T-LBL material, extensive research on T-LBL has been hampered whereas genetic aberrations in T-ALL are thoroughly character

NIAID Data Ecosystem30

Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis

肿瘤分子分型

多组学数据整合

Effective cancer treatment is crucially dependent on the identification of the biological processes that drive a tumor. However, multiple processes may be active simultaneously in a tumor. Clustering

NIAID Data Ecosystem20

Supplementary Table S8 from Integrative Multiomic Classification Reveals Distinct Origins and Evolutionary Trajectories of Thymic Epithelial Tumors

肿瘤分子分型

甲状腺肿瘤病理

Results of pathological reviews related to plasma cells and tertiary lymphoid structures

NIAID Data Ecosystem30

Table_2_DNA Repair-Based Gene Expression Signature and Distinct Molecular Subtypes for Prediction of Clinical Outcomes in Lung Adenocarcinoma.XLSX

癌症预后基因特征

肿瘤分子分型

Objective: To conduct a robust prognostic gene expression signature and characterize molecular subtypes with distinct clinical characteristics for lung adenocarcinoma (LUAD). Methods: Based on DNA rep

NIAID Data Ecosystem20

Human ependymoma samples, Subgrouping [aCGH - German Cancer Research Center human 33K BAC array]

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