![MINE: Detecting novel associations in large data sets
MINE (Maximal Information-based Nonparametric Exploration) identifies relationships hidden in data on global health, gene expression, major-league baseball, the human gut microbiota, and more:
From Facebook to physics to the global economy, the world is filled with data sets that could take a person hundreds of years to analyze by eye. Sophisticated computer programs can search these data sets with great speed, but fall short when researchers attempt to detect different kinds of patterns in large data collections.
“There are massive data sets that we want to explore, and within them, there may be many relationships that we want to understand,” said Broad Institute associate member Pardis Sabeti, senior author of the paper and an assistant professor at the Center for Systems Biology at Harvard University. “The human eye is the best way to find these relationships, but these data sets are so vast that we can’t do that. This toolkit gives us a way of mining the data to look for relationships.” […]
[via] [read more] [video about the project] [access the tool]](http://24.media.tumblr.com/tumblr_lwgcvtu7Jc1r08k60o1_1280.png)
MINE: Detecting novel associations in large data sets
MINE (Maximal Information-based Nonparametric Exploration) identifies relationships hidden in data on global health, gene expression, major-league baseball, the human gut microbiota, and more:
From Facebook to physics to the global economy, the world is filled with data sets that could take a person hundreds of years to analyze by eye. Sophisticated computer programs can search these data sets with great speed, but fall short when researchers attempt to detect different kinds of patterns in large data collections.
“There are massive data sets that we want to explore, and within them, there may be many relationships that we want to understand,” said Broad Institute associate member Pardis Sabeti, senior author of the paper and an assistant professor at the Center for Systems Biology at Harvard University. “The human eye is the best way to find these relationships, but these data sets are so vast that we can’t do that. This toolkit gives us a way of mining the data to look for relationships.” […]
[via] [read more] [video about the project] [access the tool]
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