Accuracy for our 3-feature classifier, over various datasets.

NIAID Data Ecosystem2026-03-08 收录

乳腺癌分子分型

激素受体结合预测

数据链接：

https://figshare.com/articles/dataset/_Accuracy_for_our_3_feature_classifier_over_various_datasets_/866318 数据链接链接失效反馈

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资源简介：

*#ER+/ER−: Number of patients that were estrogen receptor positive/negative from gold standard IHC analysis.

创建时间：

2013-12-02

Luminal-like and basal-like in vivo breast cancer xenograft models. Homo sapiens

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

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

Exome-capture RNAseq of microdissected FFPE human breast cancer cells, cancer-associated fibroblasts, and surrounding tumor-infiltrating lymphocytes. Exome-capture RNAseq of microdissected FFPE human breast cancer cells, cancer-associated fibroblasts, and surrounding tumor-infiltrating lymphocytes

肿瘤微环境空间转录组

乳腺癌分子分型

Here we describe the development of a robust method for RNA extraction and exome-capture RNA-sequencing of laser-capture microdissected (LCM) tumor cells (TC) and stromal immune cells (TIL) based on t

NIAID Data Ecosystem60

Targeting PyMT oncogene to diverse mammary cell populations enhances tumor heterogeneity and generates rare breast cancer subtypes

肿瘤异质性建模

乳腺癌分子分型

We are generating a new mouse model for breast cancer heterogenaity using lentiviral infection to integrate the sporatically transforming EF1α-PyMT10C or Muc-PyMT10C lentivirus into mouse mammary epit

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