| Budget Amount *help |
¥137,020,000 (Direct Cost: ¥105,400,000、Indirect Cost: ¥31,620,000)
Fiscal Year 2021: ¥26,260,000 (Direct Cost: ¥20,200,000、Indirect Cost: ¥6,060,000)
Fiscal Year 2020: ¥26,260,000 (Direct Cost: ¥20,200,000、Indirect Cost: ¥6,060,000)
Fiscal Year 2019: ¥26,260,000 (Direct Cost: ¥20,200,000、Indirect Cost: ¥6,060,000)
Fiscal Year 2018: ¥26,260,000 (Direct Cost: ¥20,200,000、Indirect Cost: ¥6,060,000)
Fiscal Year 2017: ¥31,980,000 (Direct Cost: ¥24,600,000、Indirect Cost: ¥7,380,000)
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| Outline of Final Research Achievements |
We constructed a single-cell data portal, analyzed the data collected from the research groups in the area, and released all the data in a form that can be downloaded and displayed.
It was shown that a cell lineage consistent with known knowledge can be estimated using a somatic mutation pattern at the 1-cell level for the construction of a dynamic model of a cell population. We also reviewed conventional machine learning methods and succeeded in developing a mathematical method for extracting useful information on gene interactions and co-expressions from less cell expression data. Using a machine learning model, we made it possible to extract disease-related genes from the enrichment analysis of the APA disrupted gene list.
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