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Thursday, June 30 • 10:35am - 10:40am
Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST)

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We formulate a method termed Tree Branches Evaluated Statistically for Tightness (TBEST) for identifying significantly distinct tree branches in hierarchical clusters. For each branch of the tree a measure of distinctness, or tightness, is defined as a rational function of heights, both of the branch and of its parent. A statistical procedure is then developed to determine the significance of the observed values of tightness. Based on our benchmark analysis, TBEST is a tool of choice for detection of significantly distinct branches in hierarchical trees grown from biological data.

avatar for Max "topepo" Kuhn

Max "topepo" Kuhn

Software Engineer, former scientist, RStudio
As chosen by my CAH deck, I am: | | - Leveling up | - Being knowledgable in a narrow domain that nobody understands or cares about | - Jean-Claude Van Damme in slow motion | - Giving 110% | - The Hamburgler | - A time travel paradox | - Sunshine and rainb... Read More →

avatar for Guoli  Sun

Guoli Sun

Stony Brook University
Data Scientist @ Nimble Storage

Thursday June 30, 2016 10:35am - 10:40am
Econ 140 579 Serra Mall, Stanford, CA 94305

Attendees (51)