Using Boolean network extraction of trained neural networks to reverse-engineer gene-regulatory networks from time-series data
Using Boolean network extraction of trained neural networks to reverse-engineer gene-regulatory networks from time-series data
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使用经过训练的神经网络的布尔网络提取，从时间序列数据中对基因调控网络进行逆向工程
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
T. Rintala
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文献类型：
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作者：
T. Rintala
硕士论文作者Teemu Joel Rintala标题Using Boolean network extraction of trained neural networks to reverse-engineering gene-regulatory networks from time series data学位课程生命科学技术专业生物信息学专业代码SCI 3058导师Harri Lähdesmäki教授顾问Katsumi Inoue教授日期13. 5. 2019页数54 Language English
of the master’s thesis Author Teemu Joel Rintala Title Using Boolean network extraction of trained neural networks to reverse-engineer gene-regulatory networks from time-series data Degree programme Life Science Technologies Major Bioinformatics Code of major SCI3058 Supervisor Prof. Harri Lähdesmäki Advisor Prof. Katsumi Inoue Date 13.5.2019 Number of pages 54 Language English
影响因子：
2
作者：
Irons, D. J.
通讯作者：
Irons, D. J.