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Using machine learning to identify active and druggable pathways in primary and metastatic cancers through reference-free pathway analysis

Using machine learning to identify active and druggable pathways in primary and metastatic cancers through reference-free pathway analysis
使用机器学习通过无参考途径分析来识别原发性和转移性癌症中的活性和可药物途径
批准号：
458984
负责人：
Keshavarz Faeze
金额：
$7.65万
依托单位：
BC Cancer, part of PHSA (Vancouver)
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-11-01 至 2024-11-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=458984&lang=en
关键词：
Cancer Genomics Cellular Pathway Modification Classification Machine Learning Random Forest Targeted Therapies Transcriptomics

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英文摘要
The modifications in exonic regions of DNA (parts of DNA sequence that are translated to proteins) can affect the structure and consequently the function of proteins and the cellular pathways they participate in. Changes in the cellular network can be det
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