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
Gene expression deregulation in ovarian cancer cells with acquired inverse resistance to paclitaxel and cisplatin
Resistance to anti-cancer drugs is the main challenge in oncology. In pre-clinical studies established cancer cell lines are primary tools in deciphering molecular mechanisms of this phenomenon. In th
NIAID Data Ecosystem90
Genome Wide DNA Copy Number Analysis of Serous Type Ovarian Carcinomas Identifies Genetic Markers Predictive of Clinical Outcome
Ovarian cancer is the fifth leading cause of cancer death in women. Ovarian cancers display a high degree of complex genetic alterations involving many oncogenes and tumor suppressor genes. Analysis o
NIAID Data Ecosystem40
Additional file 7 of Landscape of genomic alterations in high-grade serous ovarian cancer from exceptional long- and short-term survivors
All Mutect mutations 1. SNV mutations called by Mutect and annotated by Oncotator for samples LTS-001_T, LTS-002_T, LTS-003_T, LTS-004_T, LTS-005_T, LTS-006_T. (TXT 16479 kb)
Figshare2024-02-29 更新20
ICan: An Integrated Co-Alteration Network to Identify Ovarian Cancer-Related Genes
BackgroundOver the last decade, an increasing number of integrative studies on cancer-related genes have been published. Integrative analyses aim to overcome the limitation of a single data type, and
Figshare2016-01-15 更新50
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
