Developing a Deep Reinforcement Learning Framework and Training Intelligent Agents to Perform High-Quality Data Analysis of Multiple Reaction Monitoring Datasets for Targeted Mass Spectrometry

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Abstract

本計畫預期對社會和學術發展的影響包括:(1) 提供一套運用人工智慧模型之應用程式，自動化並加速 MRM 之數據品質管控，取代人工檢查，提高 MRM 之數據通量生產力。(2) 所發展之方法學將可應用於運用 MRM 技術之標靶代謝體學當中。(3) 所發展之泛用深度強化學習的程式框架將會開源，使得其他研究學者可快速導入深度強化學習於其他專案當中，提供有別於目前廣泛使用之監督式學習的另一種模型訓練策略。

Project IDs

Project ID:PC11109-0111
External Project ID:NSTC111-2320-B182-038

Status	Finished
Effective start/end date	01/08/22 → 31/07/23

Keywords

targeted proteomics
multiple reaction monitoring
protein quantitation
quality control
deep reinforcement learning

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https://www.grb.gov.tw/search/planDetail?id=14631861

Developing a Deep Reinforcement Learning Framework and Training Intelligent Agents to Perform High-Quality Data Analysis of Multiple Reaction Monitoring Datasets for Targeted Mass Spectrometry

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Abstract

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