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Interpretable Deep Learning to Unlock the Potential of Clinical RNA Sequencing for Precision Oncology Research

Interpretable Deep Learning to Unlock the Potential of Clinical RNA Sequencing for Precision Oncology Research
可解释的深度学习释放临床 RNA 测序在精准肿瘤学研究中的潜力
批准号：
408183
负责人：
Smirnov Petr
金额：
$7.65万
依托单位：
University Health Network (Toronto)
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2018
资助国家：
加拿大
项目状态：
已结题
起止时间：
2018-10-01 至 2021-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=408183&lang=en
关键词：
Deep Learning Precision Oncology Rna Sequencing Systems Biology

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英文摘要
When a patient fails standard cancer therapy, the oncologist is faced with the conundrum of selecting one of dozens of treatments. Present clinical trials are investigating whether DNA sequencing of tumors can inform the choice of treatment, but for 50+%
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Development of a Meta-Analytic Framework for Identification of Robust and Reproducible Genomic Predictors of Response to Cancer Therapy
Improving Genomic Predictors of Drug Response through Meta-Analysis of Large Pharmacogenomic Datasets
  • 批准号：
    367350
  • 项目类别：
    Studentship Programs
  • 资助金额：
    $1.27万
  • 财政年份：
    2016
  • 负责人：
    Smirnov Petr
  • 依托单位：
    University of Toronto
Improving Genomic Predictors of Drug Response through Meta-Analysis of Large Pharmacogenomic Datasets
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