数据链接：
官方服务：
资源简介：
Independe variables importances (MYC, BCL2, and BCL6 MLP analysis)
应用场景：
创建时间：
2024-03-11
相关数据集
Table_1_Identifying Apoptosis-Related Transcriptomic Aberrations and Revealing Clinical Relevance as Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma.docx
In view of the unsatisfactory treatment outcome of liver cancer under current treatment, where the mortality rate is high and the survival rate is poor, in this study we aimed to use RNA sequencing da
NIAID Data Ecosystem30
Table_1_Tumor-Infiltrating Lymphocyte-Based Risk Score for Predicting Prognosis in Gastric Cancer.XLSX
Tumor-infiltrating lymphocytes (TILs) in gastric cancer are closely related to clinical prognosis; however, little is known regarding the immune microenvironment in this disease. Thus, RNA-sequencing
NIAID Data Ecosystem20
DataSheet_1_A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer.zip
BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence,
NIAID Data Ecosystem10
High-throughput microRNA (miRNAs) arrays in pancreatic cancer. Homo sapiens
Background: Only a subset of radically-resected pancreatic ductal adenocarcinoma (PDAC) patients benefit from chemotherapy, and identification of novel prognostic factors is warranted. Recently miRNAs
NIAID Data Ecosystem20
Cox regression analysis to identify predictors of EC development.
Cox regression analysis to identify predictors of EC development.
NIAID Data Ecosystem20
