Journal of Systemics, Cybernetics and Informatics (Feb 2011)

Data Mining Supercomputing with SAS JMP® Genomics

  • Richard S. Segall,
  • Qingyu Zhang,
  • Ryan M. Pierce

Journal volume & issue
Vol. 9, no. 1
pp. 28 – 33

Abstract

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JMP® Genomics is statistical discovery software that can uncover meaningful patterns in high-throughput genomics and proteomics data. JMP® Genomics is designed for biologists, biostatisticians, statistical geneticists, and those engaged in analyzing the vast stores of data that are common in genomic research (SAS, 2009). Data mining was performed using JMP® Genomics on the two collections of microarray databases available from National Center for Biotechnology Information (NCBI) for lung cancer and breast cancer. The Gene Expression Omnibus (GEO) of NCBI serves as a public repository for a wide range of highthroughput experimental data, including the two collections of lung cancer and breast cancer that were used for this research. The results for applying data mining using software JMP® Genomics are shown in this paper with numerous screen shots.

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