MECPM – Maximum Entropy Conditional Probability Moldeling

MECPM

:: DESCRIPTION

MECPM (Maximum Entropy Conditional Probability Moldeling) makes explicit and is determined by the interactions that confer phenotype-predictive power.MECPM achieved both improved sensitivity and specificity for identifying ground-truth markers and interactions.

::DEVELOPER

Computational Bioinformatics & Bio-imaging Laboratory (CBIL)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • C Compiler

:: DOWNLOAD

 MECPM

:: MORE INFORMATION

Citation:

Miller, Zhang, Yu, Liu, Chen, Langefeld, Herrington, Wang (2009),
An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions
Bioinformatics (2009) 25 (19): 2478-2485.

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