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Biomedical Data Science: Mining and Modeling

cbb752b22.gersteinlab.org · 1,066 words · saved by 1 readers

Rapid developments in bio- and information- technology and are changing the way that biomedical scientists interact with data. Traditionally, data were the end result of laborious experimentation, and their interpretation mostly involved careful thought and background knowledge. Today, data are increasingly generated much earlier in the scientific workflow and are much larger in scale. Also, before the data can be interpreted, extensive computational processing is often necessary. Thus, the data deluge in biomedicine now requires mining and modeling on a large scale - ie biomedical data science.

Biomedical Data Science: Mining and Modeling Biomedical Data Science: Mining and Modeling Home Syllabus Course Info Discussion Sections Assignments Quiz Archive Final Project Course Description Rapid developments in bio- and information- technology and are changing the way that biomedical scientists interact with data. Traditionally, data were the end result of laborious experimentation, and their interpretation mostly involved careful thought and background knowledge. Today, data are increasingly generated much earlier in the scientific workflow and are much larger in scale. Also, before the

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