Transcription profiling of human breast tumors to identify a signature to predict survival

ChEBI2006-08-23 更新2026-07-21 收录

癌症预后模型

转录组生物标志物

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Transcription profiling of human breast tumors to identify a signature to predict survival

创建时间：

2006-08-23

Processed TCGA BRCA and METABRIC datasets used in the Moanna manuscript

乳腺癌多组学

癌症预后模型

This dataset consists of the processed multi-omics data and clinical labels used for training and evaluating Moanna (https://github.com/rlupat/moanna). This dataset is processed based on raw files dow

NIAID Data Ecosystem120

Table3_Integration of single-cell and bulk RNA-seq to establish a predictive signature based on the differentiation trajectory of M2 macrophages in lung adenocarcinoma.XLSX

癌症预后模型

巨噬细胞分化

Background: Tumor-associated macrophages as important members of the tumor microenvironment, are highly plastic and heterogeneous. TAMs can be classified into two preliminary subtypes: M1 and M2 macro

NIAID Data Ecosystem70

Table_1_Construction of a Tumor Immune Microenvironment-Related Prognostic Model in BRAF-Mutated Papillary Thyroid Cancer.xlsx

癌症预后模型

肿瘤免疫微环境

BRAF mutation is a representative oncogenic mutation, with a frequency of 60% in papillary thyroid carcinoma (PTC), but the reasons for the poor prognosis and more aggressive course of BRAF-mutated PT

NIAID Data Ecosystem20

DataSheet1_Whole-Transcriptome Sequence of Degenerative Meniscus Cells Unveiling Diagnostic Markers and Therapeutic Targets for Osteoarthritis.DOCX

关节炎分子机制

转录组生物标志物

Meniscus plays an important role in joint homeostasis. Tear or degeneration of meniscus might facilitate the process of knee osteoarthritis (OA). Hence, to investigate the transcriptome change during

NIAID Data Ecosystem90

Data_Sheet_1_Expressional and Prognostic Value of S100A16 in Pancreatic Cancer Via Integrated Bioinformatics Analyses.zip

癌症生物标志物

癌症预后模型

Studies have shown that the calcium-binding protein family S100 may play a role in the development of pancreatic cancer (PC), but the role of S100A16 in PC is still unknown. In this study, Oncomine wa

NIAID Data Ecosystem30

Transcription profiling of human breast tumors to identify a signature to predict survival

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