Investigating the Pathogenetic Mechanisms of Alzheimer's Disease via Big Data Mining, High throughput Data Estimation, and System Identification

Thesis

Chung, Ming-Hsun

Masters, 國立清華大學, 電機工程學系所

2017

Abstract

阿茲海默症

基因與表觀遺傳網路

系統識別方法

藥物目標

藥物設計

Alzheimer's disease

genetic and epigenetic networks

system identification

drug targets

drugs design

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Title: Investigating the Pathogenetic Mechanisms of Alzheimer's Disease via Big Data Mining, High throughput Data Estimation, and System Identification
Translated title: Investigating the Pathogenetic Mechanisms of Alzheimer's Disease via Big Data Mining, High throughput Data Estimation, and System Identification
Creators: Chung, Ming-Hsun
Contributors: Chen, Bor-Sen (Advisor)
Awarding Institution: 國立清華大學, 電機工程學系所; Masters
Theses and Dissertations: Masters, 國立清華大學, 電機工程學系所
Language: English
Resource Type: Thesis
Date published: 2018