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University of California, Santa Barbara

Summary:

The University of California, Santa Barbara is a leading research institution that also provides a comprehensive liberal arts learning experience. Because teaching and research go hand in hand at UC Santa Barbara, our students are full participants in an educational journey of discovery that stimulates independent thought, critical reasoning, and creativity. Our academic community of faculty, students, and staff is characterized by a culture of interdisciplinary collaboration that is responsive to the needs of our multicultural and global society. Our commitment to public service is manifested through the creation and distribution of knowledge that advances the well-being of our state, nation, and world. All of this takes place within a living and learning environment like no other, as we draw inspiration, opportunity, and advantage from the beauty and resources of UC Santa Barbara's extraordinary location at the edge of the Pacific Ocean.

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Software

  • M-BISON: Microarray-Based Integration of data SOurces using Networks ( Software )

    This method uses an undirected graphical model, the Boltzmann machine, to integrate biological knowledge (i.e. Gene Ontology or Pathway annotation) with gene expression data. The ultimate goal is to identify differentially expressed genes more accurately than what is possible with microarray data alone.

  • SAGAT: Svd Augmented Gene expression Analysis Tool ( Software )

    This project is an R package enabling the integration of currently existing microarray data from repositories like NCBI's Gene Expression Omnibus (GEO) with microarray data querying conditions of interest. The goal of this integration is to better identify differentially expressed genes in the query conditions.

    Keywords: differentially expressed genes, Microarray, SVD


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Last updated: 2013-10-01T12:25:32.964-05:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016