TREMSUCS-TCGA – an integrated workflow for the identification of biomarkers for treatment success
Many publicly available databases provide disease related data, that makes it possible to link genomic data to medical and meta-data. The cancer genome atlas (TCGA), for example, compiles tens of thousand of datasets covering a wide array of cancer types. Here we introduce an interactive and highly...
Saved in:
Main Authors: | Balogh Gabor, Jorge Natasha, Dupain Célia, Kamal Maud, Servant Nicolas, Le Tourneau Christophe, Stadler Peter F., Bernhart Stephan H. |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2024-12-01
|
Series: | Journal of Integrative Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1515/jib-2024-0031 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Promising markers of CIMP+ colon tumors identified on the basis of TCGA data analysis
by: G. S. Krasnov, et al.
Published: (2018-01-01) -
An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma
by: Michele Massimino, et al.
Published: (2025-01-01) -
Identification of KRT16 and ANXA10 as cell cycle regulation genes for lung adenocarcinoma based on self-transcriptome sequencing of surgical samples and TCGA public data mining
by: Wen-jian Liu, et al.
Published: (2025-01-01) -
Molecular subtype of ovarian clear cell carcinoma: an analysis of 80 Chinese patients using the TCGA molecular classification of endometrial cancer
by: Wei Chen, et al.
Published: (2025-01-01) -
AIFM1 is a prognostic biomarker for uterine carcinosarcoma and is associated with immune cell infiltration
by: Lijuan Wang, et al.
Published: (2025-02-01)