官方服务:
资源简介:
Dataset for https://github.com/joshbiology/sccoht
应用场景:
创建时间:
2019-03-11
相关数据集
Table_7_Whole-genome/exome analysis of circulating tumor DNA and comparison to tumor genomics from patients with heavily pre-treated ovarian cancer: subset analysis of the PERMED-01 trial.docx
IntroductionThe poor prognosis of ovarian carcinoma (OvC) is due to the advanced stage at diagnosis, a high risk of relapse after first-line therapies, and the lack of efficient treatments in the recu
NIAID Data Ecosystem40
Identification and Validation of a Gene-based Signature Reveals SLC25A10 as a Novel Prognostic Indicator for Patients with Ovarian Cancer
The data and code used in the manuscript entitled "Identification and Validation of a Gene-based Signature Reveals SLC25A10 as a Novel Prognostic Indicator for Patients with Ovarian Cancer".
Zenodo2022-08-27 更新20
Oncogenic RAD21 Amplification Suppresses Interferon Signalling to Promote Immune Evasion in Ovarian Cancer. Oncogenic RAD21 Amplification Suppresses Interferon Signalling to Promote Immune Evasion in Ovarian Cancer
Ovarian cancer (OV) is the leading cause of mortality from gynaecological malignancies with poor prognosis and limited therapeutic options. Prevalent copy number alteration (CNA) is a genetic characte
NIAID Data Ecosystem10
CTCR-OV03/CTCR-OV04 ovarian cancer. Homo sapiens
High-grade serous ovarian cancer (HGSOC) exhibits significant genomic heterogeneity within a patient at presentation. Recent work has suggested that this heterogeneity is linked to the development of
NIAID Data Ecosystem30
BRCA1 and BRCA2 classification of ovarian cancer
Inactivating germline BRCA1 and BRCA2 mutations confer a defect in homologous recombination DNA repair which was found to leave traces in tumor DNA copy number aberration (CNA) profiles. In analogy to
NIAID Data Ecosystem20



