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Tight Clustering: a method for extracting stable and tight patterns in expression profiles

Tight Clustering: a method for extracting stable and tight patterns in expression profiles. A class of penalized and weighted K-means for clustering. George C. Tseng Dept. of Biostatistics & Human Genetics University of Pittsburgh. Image analysis. Normalization. Identify differentially

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798 views • 52 slides

Flexible generalization of ordinary linear regression. Allows for outcomes that have other than a normal distribution.

Random generalized linear model: a highly accurate and interpretable ensemble predictor Song L, Langfelder P, Horvath S. BMC Bioinformatics 2013 Steve Horvath ( shorvath@mednet.ucla.edu ) University of California, Los Angeles. Linear. Logistic. Multi- nomial. Poisson.

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476 views • 35 slides

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Tibshirani et al - PowerPoint PPT Presentation

Tight Clustering: a method for extracting stable and tight patterns in expression profiles

Flexible generalization of ordinary linear regression. Allows for outcomes that have other than a normal distribution.