首页/数据集/Methods S1 - Conceptualizing Cancer Drugs as Classifiers

Methods S1 - Conceptualizing Cancer Drugs as Classifiers

Figshare2015-12-02 更新2026-04-29 收录

癌症药物响应预测

乳腺癌分子分型

数据链接：

https://figshare.com/articles/dataset/_Conceptualizing_Cancer_Drugs_as_Classifiers_/1178396 数据链接链接失效反馈

官方服务：

资源简介：

Includes details related to labeling of cell lines as basal-like or luminal as in Part III. (DOCX)

应用场景：

创建时间：

2015-12-02

癌症异种移植模型

乳腺癌分子分型

The number of relevant and well-characterized cell lines and xenograft models for studying human breast cancer are few, and may represent a limitation for this field of research. With the aim of devel

NIAID Data Ecosystem90

Association between select breast cancer risk factors and hormone receptor status.

乳腺癌分子分型

肿瘤流行病学

1Results were estimated from case-only logistic regressions with adjustment for age at diagnosis.

Figshare2015-12-02 更新60

DataSheet_1_The Transcriptomic Portrait of Locally Advanced Breast Cancer and Its Prognostic Value in a Multi-Country Cohort of Latin American Patients.zip

乳腺癌分子分型

转录组预后分析

PurposesMost molecular-based published studies on breast cancer do not adequately represent the unique and diverse genetic admixture of the Latin American population. Searching for similarities and di

NIAID Data Ecosystem20

Luminal-like and basal-like in vivo breast cancer xenograft models

癌症异种移植模型

乳腺癌分子分型

NIAID Data Ecosystem80

Molecular features of TNBC as compared to the HER2+ and ER+/PR+ breast carcinoma.

乳腺癌分子分型

三阴性乳腺癌

* Indicates a significant difference at the 5% level▯Indicate significant differences between TNBC and HER2+ groups❖Indicate significant differences between TNBC, HER2+ and ER+/PR+ groupsMolecular fea

Figshare2015-12-03 更新20

Methods S1 - Conceptualizing Cancer Drugs as Classifiers

资源简介：

相关数据集