interface-CancerDAP
Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data | CancerDAP is a database molecularly characterizing subpathways involved in cellular response to 191 anticancer drugs | 1 Prospect the detailed information of each subpathway related to corresponding anticancer drug; 2 | CancerDAP has been formally launched and is freely available at:
Description
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Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data | CancerDAP is a database molecularly characterizing subpathways involved in cellular response to 191 anticancer drugs | 1 Prospect the detailed information of each subpathway related to corresponding anticancer drug; 2 | CancerDAP has been formally launched and is freely available at:
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:38.052441
Webpage:
http://bio-bigdata.hrbmu.edu.cn/CancerDAP/Webpage
More detailed information about this field from each metasource.
http://bio-bigdata.hrbmu.edu.cn/CancerDAP/
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:38.052441
Publications:
Publications
More detailed information about this field from each metasource.
Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data
PMID: 31387579
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:38.052441
Publications
More detailed information about this field from each metasource.
Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data
PMID: 31387579
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:38.052441
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Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data
PubMed citations: 5.
5 articles citing: Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data
Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer. PMID:35273457
Omics and Computational Modeling Approaches for the Effective Treatment of Drug-Resistant Cancer Cells. PMID:34691155
The Comprehensive "Omics" Approach from Metabolomics to Advanced Omics for Development of Immune Checkpoint Inhibitors: Potential Strategies for Next Generation of Cancer Immunotherapy. PMID:34203237
Incorporating Machine Learning into Established Bioinformatics Frameworks. PMID:33809353
DRIM: A Web-Based System for Investigating Drug Response at the Molecular Level by Condition-Specific Multi-Omics Data Integration. PMID:33281870
Tags:
Tags
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pharmacogenomics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:38.052441
epigenetics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:38.052441
preclinical and clinical studies
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:38.052441
Tags
More detailed information about this field from each metasource.
pharmacogenomics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:38.052441
epigenetics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:38.052441
preclinical and clinical studies
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:38.052441
pharmacogenomics epigenetics preclinical and clinical studies
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