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Proceedings of the 10th Pacific Symposium on Biocomputing, PSB 2005, Hawaii, USA, 4-8 January 2005

(Session Introduction) Joint Learning from Multiple Types of Genomic Data

Publication ,  Chapter
Hartemink, AJ; Segal, E
2005

Duke Scholars

ISBN

981-256-046-7

Publication Date

2005

Publisher

World Scientific

Related Subject Headings

  • Proteins
  • Models, Genetic
  • Genomics
  • Genome
  • DNA
  • Bayes Theorem
 

Citation

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Hartemink, A. J., & Segal, E. (2005). (Session Introduction) Joint Learning from Multiple Types of Genomic Data. In R. B. Altman, T. A. Jung, T. E. Klein, A. K. Dunker, & L. Hunter (Eds.), Proceedings of the 10th Pacific Symposium on Biocomputing, PSB 2005, Hawaii, USA, 4-8 January 2005. World Scientific.
Hartemink, Alexander J., and Eran Segal. “(Session Introduction) Joint Learning from Multiple Types of Genomic Data.” In Proceedings of the 10th Pacific Symposium on Biocomputing, PSB 2005, Hawaii, USA, 4-8 January 2005, edited by Russ B. Altman, Tiffany A. Jung, Teri E. Klein, A Keith Dunker, and Lawrence Hunter. World Scientific, 2005.
Hartemink AJ, Segal E. (Session Introduction) Joint Learning from Multiple Types of Genomic Data. In: Altman RB, Jung TA, Klein TE, Dunker AK, Hunter L, editors. Proceedings of the 10th Pacific Symposium on Biocomputing, PSB 2005, Hawaii, USA, 4-8 January 2005. World Scientific; 2005.
Hartemink, Alexander J., and Eran Segal. “(Session Introduction) Joint Learning from Multiple Types of Genomic Data.” Proceedings of the 10th Pacific Symposium on Biocomputing, PSB 2005, Hawaii, USA, 4-8 January 2005, edited by Russ B. Altman et al., World Scientific, 2005.
Hartemink AJ, Segal E. (Session Introduction) Joint Learning from Multiple Types of Genomic Data. In: Altman RB, Jung TA, Klein TE, Dunker AK, Hunter L, editors. Proceedings of the 10th Pacific Symposium on Biocomputing, PSB 2005, Hawaii, USA, 4-8 January 2005. World Scientific; 2005.
Journal cover image

ISBN

981-256-046-7

Publication Date

2005

Publisher

World Scientific

Related Subject Headings

  • Proteins
  • Models, Genetic
  • Genomics
  • Genome
  • DNA
  • Bayes Theorem