Construction of cell evaluation system utilizing online distributed machine learning

2016 Fiscal Year Final Research Report

• Project/Area Number: 26670181
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Human pathology
• Research Institution: National Center for Child Health and Development
• Principal Investigator: Umezawa Akihiro 国立研究開発法人国立成育医療研究センター, 再生医療センター, 副所長/再生医療センター長 (70213486)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 移植病理 / エピゲノム / 機械学習 / 再生医療 / 幹細胞

Outline of Final Research Achievements

In this research, we established cell evaluation technology as applied to bio-big data of machine learning technology, information Retrieval technology, and examined issues for commercialization and service of evaluation technology by verification verification. We utilize genome wide data utilizing genome, transcriptome, epigenome data to classify and evaluate iPS cells, ES cells and somatic stem cells using a large-scale distributed online machine learning framework. Comprehensive DNA methylation analysis was performed using different tissue origin, different human stem cells, and human ES cells established by different methods.

Free Research Field

病理学