...态规划; 生物信息挖掘 [gap=817]Key words:LIS(longest increasing subsequence); dynamic programming; bioinformatics mining ...
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通过有效手段从整合的异构生物信息资源中获取高质量的生物数据,能够为生物信息的分析和挖掘提供强有力的支持。
The analysis and mining of bioinformation can be strongly supported by means of acquiring high quality bio-data efficiently and conveniently from integrated heterogeneous bioinformation resource.
本论文的研究方向是生物信息领域的基于基因表达谱的基因挖掘。
The research direction of this dissertation is about the microarray based gene mining in the bioinformatics subject.
我希望可以专注于生物信息学,数据库和数据挖掘技术。
I would like to focus on bio-informatics, database and data mining technology.
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