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Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. And the Annals of Applied Statistics.

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Home | MINE: Maximal Information-based Nonparametric Exploration | exploredata.net Reviews

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Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. And the Annals of Applied Statistics.

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Home | MINE: Maximal Information-based Nonparametric Exploration | exploredata.net Reviews

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Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. And the Annals of Applied Statistics.

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FAQ | MINE: Maximal Information-based Nonparametric Exploration

http://www.exploredata.net/FAQ

We are working hard at making MINE more reliable and easy to use. Before contacting us, please check to see if your question appears on this list, and make sure that you're running the latest version. Of MINE, since your problem may already be fixed. 1 Can you give a a short tutorial on using MINE? Here's an example to get you going quickly: download. MINE, and download the gene expression data set. Into the same folder. Then type. Java -jar MINE.jar Spellman.csv 0. 3 Does MINE work on textual data?

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Home | MINE: Maximal Information-based Nonparametric Exploration

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Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. MINE was developed jointly by David Reshef.

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Technical Information | MINE: Maximal Information-based Nonparametric Exploration

http://www.exploredata.net/Technical-information

The calculation of MIC and other MINE statistics. As with any data exploration technique, it is important to address multiple testing concerns thoroughly when using MINE statistics. We suggest doing so by controlling the false discovery rate as in the paper describing MINE. For this purpose, we have pre-computed tables of uncorrected p-values. Of various MIC scores at different sample sizes. More detailed information is contained in the published paper describing MINE:. 6062 (2011). [ abstract.

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Home | MINE: Maximal Information-based Nonparametric Exploration

http://www.exploredata.net/Overview

Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. MINE was developed jointly by David Reshef.

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Home | MINE: Maximal Information-based Nonparametric Exploration

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Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. MINE was developed jointly by David Reshef.

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I am currently a PhD student in computer science at the Massachusetts Institute of Technology. Working with Tommi Jaakkola. Previously, I studied statistics at the University of Oxford. And computer science at MIT. I am broadly interested in the areas of machine learning, statistical inference, and information theory. My work focuses on developing tools for identifying structure in high-dimensional datasets using techniques from these fields. Email: dnreshef <at> mit <dot> edu. E Goldstein , R. Kirkc...

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APPROX-MIC Implementation Details — minepy 1.3.0 documentation

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MATLAB and OCTAVE API. The occurring differences can be ground for small numerical discrepancies as well as for difference in performance (DOI: 10.1093/bioinformatics/bts707). In SOM, Algorithm 5, the characteristic matrix. Is computed in the loop starting at line 7 for. This is in contrast with the definition of the MINE measures (see SOM, Sec. 2) where the corresponding bound is. For all the four statistics. We adopted the same bound as in the pseudocode,. As in the SOM pseudocode rather than the.

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LaTeX$ Formula Editor for Blogger. Tuesday, March 17, 2015. March 17, 2015 at 10:26 AM. 161;¡Felicidades a Doña a Ema! March 17, 2015 at 10:49 AM. Subscribe to: Post Comments (Atom). University of Iowa Radio. Lost Civilizations: Who Were the Garamantes? Which TV Ads Made the Podium During the 2016 Olympics? Mexico Holds 8 in Army in Inquiry of 22 Deaths - NYTimes.com. Un Gato En La Oscuridad. LezaBlackSun « film reviews, ,essays, flash fiction and photography. Writing: Welcome to my Erotic Nightmare.

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LaTeX$ Formula Editor for Blogger. Monday, February 24, 2014. Sunday, February 9, 2014. Writing Off the Unemployed. Back in 1987 my Princeton colleague Alan Blinder published a very good book titled “ Hard Heads, Soft Hearts. What do we know about long-term unemployment in America? Second, if you think the typical long-term unemployed American is one of Those People — nonwhite, poorly educated, etc. — you’re wrong, according to research. He sent out thousands of fictitious résumés in response to job ads,...

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Home | MINE: Maximal Information-based Nonparametric Exploration

Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family. A paper describing MINE and applying it to data from global health, genomics, the human microbiome, and Major League Baseball was published in Science Magazine. And the Annals of Applied Statistics.

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