TTSurv
TTSurv aims to correlate coding and noncoding genes with cancers by combining high-throughput data with clinical prognosis. The application focuses on the use of high-throughput data to detect ncRNAs, such as lncRNAs and microRNAs, as novel diagnostic and prognostic biomarkers. For a more comprehensive analysis, a large amount of public expression profile data with clinical follow-up information. TTSurv also provides flexible methods such as a minimum p-value algorithm and unsupervised clustering methods that can classify thoracic cancer samples into different risk groups.
Description
More detailed information about this field from each metasource.
TTSurv aims to correlate coding and noncoding genes with cancers by combining high-throughput data with clinical prognosis. The application focuses on the use of high-throughput data to detect ncRNAs, such as lncRNAs and microRNAs, as novel diagnostic and prognostic biomarkers. For a more comprehensive analysis, a large amount of public expression profile data with clinical follow-up information. TTSurv also provides flexible methods such as a minimum p-value algorithm and unsupervised clustering methods that can classify thoracic cancer samples into different risk groups.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
Webpage:
http://www.bio-server.cn/TTSurvWebpage
More detailed information about this field from each metasource.
http://www.bio-server.cn/TTSurv
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
Licence:
Name: Not licensedLicence name
More detailed information about this field from each metasource.
Publications:
Publications
More detailed information about this field from each metasource.
TTSurv: Exploring the Multi-Gene Prognosis in Thousands of Tumors
PMID: 34113575
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
Publications
More detailed information about this field from each metasource.
TTSurv: Exploring the Multi-Gene Prognosis in Thousands of Tumors
PMID: 34113575
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
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TTSurv: Exploring the Multi-Gene Prognosis in Thousands of Tumors
PubMed citations: 1.
1 articles citing: TTSurv: Exploring the Multi-Gene Prognosis in Thousands of Tumors
Integrating Genetic and Transcriptomic Data to Reveal Pathogenesis and Prognostic Markers of Pancreatic Adenocarcinoma. PMID:34567094
Tags:
Tags
More detailed information about this field from each metasource.
functional, regulatory and non-coding rna
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
biomarkers
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
pathology
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
oncology
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
gene expression
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
data visualisation
metasource: bio.tools
version: extracted_at: 2022-11-04T11:25:51.397658
Tags
More detailed information about this field from each metasource.
functional, regulatory and non-coding rna
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
biomarkers
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
pathology
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
oncology
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
gene expression
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
data visualisation
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:25:51.397658
functional, regulatory and non-coding rna biomarkers pathology oncology gene expression data visualisation
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